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Java Source Code / Java Documentation » Science » weka » weka.classifiers.bayes 
Source Cross Reference  Class Diagram Java Document (Java Doc) 


java.lang.Object
   weka.classifiers.Classifier
      weka.classifiers.bayes.HNB

HNB
public class HNB extends Classifier implements TechnicalInformationHandler(Code)
Contructs Hidden Naive Bayes classification model with high classification accuracy and AUC.

For more information refer to:

H. Zhang, L. Jiang, J. Su: Hidden Naive Bayes. In: Twentieth National Conference on Artificial Intelligence, 919-924, 2005.

BibTeX:

 @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

author:
   H. Zhang (hzhang@unb.ca)
author:
   Liangxiao Jiang (ljiang@cug.edu.cn)
version:
   $Revision: 1.8 $


Field Summary
final static  longserialVersionUID
    


Method Summary
public  voidbuildClassifier(Instances instances)
     Generates the classifier.
public  double[]distributionForInstance(Instance instance)
    
public  CapabilitiesgetCapabilities()
     Returns default capabilities of the classifier.
public  TechnicalInformationgetTechnicalInformation()
     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.
public  StringglobalInfo()
     Returns a string describing this classifier.
public static  voidmain(String[] args)
     Main method for testing this class.
public  StringtoString()
    

Field Detail
serialVersionUID
final static long serialVersionUID(Code)
for serialization





Method Detail
buildClassifier
public void buildClassifier(Instances instances) throws Exception(Code)
Generates the classifier.
Parameters:
  instances - set of instances serving as training data
exception:
  Exception - if the classifier has not been generated successfully



distributionForInstance
public double[] distributionForInstance(Instance instance) throws Exception(Code)
Calculates the class membership probabilities for the given test instance
Parameters:
  instance - the instance to be classified predicted class probability distribution
exception:
  Exception - if there is a problem generating the prediction



getCapabilities
public Capabilities getCapabilities()(Code)
Returns default capabilities of the classifier. the capabilities of this classifier



getTechnicalInformation
public TechnicalInformation getTechnicalInformation()(Code)
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. the technical information about this class



globalInfo
public String globalInfo()(Code)
Returns a string describing this classifier. a description of the data generator suitable fordisplaying in the explorer/experimenter gui



main
public static void main(String[] args)(Code)
Main method for testing this class.
Parameters:
  args - the options



toString
public String toString()(Code)
returns a string representation of the classifier a representation of the classifier



Fields inherited from weka.classifiers.Classifier
protected boolean m_Debug(Code)(Java Doc)

Methods inherited from weka.classifiers.Classifier
abstract public void buildClassifier(Instances data) throws Exception(Code)(Java Doc)
public double classifyInstance(Instance instance) throws Exception(Code)(Java Doc)
public String debugTipText()(Code)(Java Doc)
public double[] distributionForInstance(Instance instance) throws Exception(Code)(Java Doc)
public static Classifier forName(String classifierName, String[] options) throws Exception(Code)(Java Doc)
public Capabilities getCapabilities()(Code)(Java Doc)
public boolean getDebug()(Code)(Java Doc)
public String[] getOptions()(Code)(Java Doc)
public Enumeration listOptions()(Code)(Java Doc)
public static Classifier[] makeCopies(Classifier model, int num) throws Exception(Code)(Java Doc)
public static Classifier makeCopy(Classifier model) throws Exception(Code)(Java Doc)
protected static void runClassifier(Classifier classifier, String[] options)(Code)(Java Doc)
public void setDebug(boolean debug)(Code)(Java Doc)
public void setOptions(String[] options) throws Exception(Code)(Java Doc)

Methods inherited from java.lang.Object
native protected Object clone() throws CloneNotSupportedException(Code)(Java Doc)
public boolean equals(Object obj)(Code)(Java Doc)
protected void finalize() throws Throwable(Code)(Java Doc)
final native public Class getClass()(Code)(Java Doc)
native public int hashCode()(Code)(Java Doc)
final native public void notify()(Code)(Java Doc)
final native public void notifyAll()(Code)(Java Doc)
public String toString()(Code)(Java Doc)
final native public void wait(long timeout) throws InterruptedException(Code)(Java Doc)
final public void wait(long timeout, int nanos) throws InterruptedException(Code)(Java Doc)
final public void wait() throws InterruptedException(Code)(Java Doc)

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