public class NaiveBayesMultinomialUpdateable extends NaiveBayesMultinomial implements UpdateableClassifier
@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: -output-debug-info
-do-not-check-capabilities
If set, classifier capabilities are not checked before classifier is built
(use with caution).
-num-decimal-laces
The number of decimal places for the output of numbers in the model.
-batch-size
The desired batch size for batch prediction.
BATCH_SIZE_DEFAULT, NUM_DECIMAL_PLACES_DEFAULT
Constructor and Description |
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NaiveBayesMultinomialUpdateable() |
Modifier and Type | Method and Description |
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void |
buildClassifier(Instances instances)
Generates the classifier.
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java.lang.String |
getRevision()
Returns the revision string.
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java.lang.String |
globalInfo()
Returns a string describing this classifier
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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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void |
updateClassifier(Instance instance)
Updates the classifier with information from one training instance.
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distributionForInstance, getCapabilities, getTechnicalInformation
batchSizeTipText, classifyInstance, debugTipText, distributionsForInstances, doNotCheckCapabilitiesTipText, forName, getBatchSize, getDebug, getDoNotCheckCapabilities, getNumDecimalPlaces, getOptions, implementsMoreEfficientBatchPrediction, listOptions, makeCopies, makeCopy, numDecimalPlacesTipText, postExecution, preExecution, run, runClassifier, setBatchSize, setDebug, setDoNotCheckCapabilities, setNumDecimalPlaces, setOptions
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
makeCopy
public java.lang.String globalInfo()
globalInfo
in class NaiveBayesMultinomial
public void buildClassifier(Instances instances) throws java.lang.Exception
buildClassifier
in interface Classifier
buildClassifier
in class NaiveBayesMultinomial
instances
- set of instances serving as training datajava.lang.Exception
- if the classifier has not been generated successfullypublic void updateClassifier(Instance instance) throws java.lang.Exception
updateClassifier
in interface UpdateableClassifier
instance
- the instance to be incorporatedjava.lang.Exception
- if the instance cannot be processed successfully.public 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[] argv)
argv
- the options