Package weka.classifiers.bayes
Class NaiveBayesUpdateable
- java.lang.Object
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- weka.classifiers.Classifier
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- weka.classifiers.bayes.NaiveBayes
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- weka.classifiers.bayes.NaiveBayesUpdateable
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- All Implemented Interfaces:
java.io.Serializable
,java.lang.Cloneable
,UpdateableClassifier
,CapabilitiesHandler
,OptionHandler
,RevisionHandler
,TechnicalInformationHandler
,WeightedInstancesHandler
public class NaiveBayesUpdateable extends NaiveBayes implements UpdateableClassifier
Class for a Naive Bayes classifier using estimator classes. This is the updateable version of NaiveBayes.
This classifier will use a default precision of 0.1 for numeric attributes when buildClassifier is called with zero training instances.
For more information on Naive Bayes classifiers, see
George H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence, San Mateo, 338-345, 1995. BibTeX:@inproceedings{John1995, address = {San Mateo}, author = {George H. John and Pat Langley}, booktitle = {Eleventh Conference on Uncertainty in Artificial Intelligence}, pages = {338-345}, publisher = {Morgan Kaufmann}, title = {Estimating Continuous Distributions in Bayesian Classifiers}, year = {1995} }
Valid options are:-K Use kernel density estimator rather than normal distribution for numeric attributes
-D Use supervised discretization to process numeric attributes
-O Display model in old format (good when there are many classes)
- Version:
- $Revision: 1.11 $
- Author:
- Len Trigg (trigg@cs.waikato.ac.nz), Eibe Frank (eibe@cs.waikato.ac.nz)
- See Also:
- Serialized Form
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Constructor Summary
Constructors Constructor Description NaiveBayesUpdateable()
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description java.lang.String
getRevision()
Returns the revision string.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.java.lang.String
globalInfo()
Returns a string describing this classifierstatic void
main(java.lang.String[] argv)
Main method for testing this class.void
setUseSupervisedDiscretization(boolean newblah)
Set whether supervised discretization is to be used.-
Methods inherited from class weka.classifiers.bayes.NaiveBayes
buildClassifier, displayModelInOldFormatTipText, distributionForInstance, getCapabilities, getDisplayModelInOldFormat, getOptions, getUseKernelEstimator, getUseSupervisedDiscretization, listOptions, setDisplayModelInOldFormat, setOptions, setUseKernelEstimator, toString, updateClassifier, useKernelEstimatorTipText, useSupervisedDiscretizationTipText
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Methods inherited from class weka.classifiers.Classifier
classifyInstance, debugTipText, forName, getDebug, makeCopies, makeCopy, setDebug
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Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
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Methods inherited from interface weka.classifiers.UpdateableClassifier
updateClassifier
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Method Detail
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globalInfo
public java.lang.String globalInfo()
Returns a string describing this classifier- Overrides:
globalInfo
in classNaiveBayes
- Returns:
- a description of the classifier suitable for displaying in the explorer/experimenter gui
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getTechnicalInformation
public 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.- Specified by:
getTechnicalInformation
in interfaceTechnicalInformationHandler
- Overrides:
getTechnicalInformation
in classNaiveBayes
- Returns:
- the technical information about this class
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setUseSupervisedDiscretization
public void setUseSupervisedDiscretization(boolean newblah)
Set whether supervised discretization is to be used.- Overrides:
setUseSupervisedDiscretization
in classNaiveBayes
- Parameters:
newblah
- true if supervised discretization is to be used.
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getRevision
public java.lang.String getRevision()
Returns the revision string.- Specified by:
getRevision
in interfaceRevisionHandler
- Overrides:
getRevision
in classNaiveBayes
- Returns:
- the revision
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main
public static void main(java.lang.String[] argv)
Main method for testing this class.- Parameters:
argv
- the options
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