public class HNB extends Classifier implements TechnicalInformationHandler
@inproceedings{Zhang2005,
author = {H. Zhang and L. Jiang and J. Su},
booktitle = {Twentieth National Conference on Artificial Intelligence},
pages = {919-924},
publisher = {AAAI Press},
title = {Hidden Naive Bayes},
year = {2005}
}
Valid options are:
-D If set, classifier is run in debug mode and may output additional info to the console
| Constructor and Description |
|---|
HNB() |
| Modifier and Type | Method and Description |
|---|---|
void |
buildClassifier(Instances instances)
Generates the classifier.
|
double[] |
distributionForInstance(Instance instance)
Calculates the class membership probabilities for the given test instance
|
Capabilities |
getCapabilities()
Returns default capabilities of the classifier.
|
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 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
|
classifyInstance, debugTipText, forName, getDebug, getOptions, listOptions, makeCopies, makeCopy, setDebug, setOptionspublic java.lang.String globalInfo()
public TechnicalInformation getTechnicalInformation()
getTechnicalInformation in interface TechnicalInformationHandlerpublic Capabilities getCapabilities()
getCapabilities in interface CapabilitiesHandlergetCapabilities in class ClassifierCapabilitiespublic void buildClassifier(Instances instances) throws java.lang.Exception
buildClassifier in class Classifierinstances - 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 Classifierinstance - the instance to be classifiedjava.lang.Exception - if there is a problem generating the predictionpublic java.lang.String toString()
toString in class java.lang.Objectpublic java.lang.String getRevision()
getRevision in interface RevisionHandlergetRevision in class Classifierpublic static void main(java.lang.String[] args)
args - the options