weka.classifiers.meta
Class WeightedInstancesHandlerWrapper

java.lang.Object
  weka.classifiers.AbstractClassifier
      weka.classifiers.SingleClassifierEnhancer
          weka.classifiers.meta.WeightedInstancesHandlerWrapper

All Implemented Interfaces:

Serializable, Cloneable, weka.classifiers.Classifier, weka.core.CapabilitiesHandler, weka.core.OptionHandler, weka.core.RevisionHandler, weka.core.WeightedInstancesHandler

public class WeightedInstancesHandlerWrapper
extends weka.classifiers.SingleClassifierEnhancer
implements weka.core.WeightedInstancesHandler

A meta-classifier that implements the weka.core.WeightedInstancesHandler interface in order to enable all classifiers to be used in other meta-classifiers that require the base classifier to implem ent the WeightedInstancesHandler interface. This meta-classifier does nothing with the weights, it is just a dumb (but useful) wrapper.

Valid options are:

 -D
  If set, classifier is run in debug mode and
  may output additional info to the console

 -W
  Full name of base classifier.
  (default: weka.classifiers.rules.ZeroR)

 Options specific to classifier weka.classifiers.rules.ZeroR:
 

 -D
  If set, classifier is run in debug mode and
  may output additional info to the console

Version:

$Revision: 4521 $

Author:

fracpete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Field Summary

Fields inherited from class weka.classifiers.SingleClassifierEnhancer

m_Classifier

Fields inherited from class weka.classifiers.AbstractClassifier

m_Debug

Constructor Summary

WeightedInstancesHandlerWrapper()

Method Summary

void	buildClassifier(weka.core.Instances data) Generates a classifier.
double	classifyInstance(weka.core.Instance instance) Classifies the given test instance.
double[]	distributionForInstance(weka.core.Instance instance) Predicts the class memberships for a given instance.
String	globalInfo() Returns a string describing the classifier.
static void	main(String[] args) Main method for running this class.
String	toString() Returns a string representation of the base classifier.

Methods inherited from class weka.classifiers.SingleClassifierEnhancer

classifierTipText, defaultClassifierString, getCapabilities, getClassifier, getClassifierSpec, getOptions, listOptions, setClassifier, setOptions

Methods inherited from class weka.classifiers.AbstractClassifier

debugTipText, forName, getDebug, getRevision, makeCopies, makeCopy, runClassifier, setDebug

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

WeightedInstancesHandlerWrapper

public WeightedInstancesHandlerWrapper()

Method Detail

globalInfo

public String globalInfo()

Returns a string describing the classifier.

Returns:

a description suitable for displaying in the explorer/experimenter gui

buildClassifier

public void buildClassifier(weka.core.Instances data)
                     throws Exception

Generates a classifier. Must initialize all fields of the classifier that are not being set via options (ie. multiple calls of buildClassifier must always lead to the same result). Must not change the dataset in any way.

Specified by:

buildClassifier in interface weka.classifiers.Classifier

Parameters:

data - set of instances serving as training data

Throws:

Exception - if the classifier has not been generated successfully

classifyInstance

public double classifyInstance(weka.core.Instance instance)
                        throws Exception

Classifies the given test instance. The instance has to belong to a dataset when it's being classified.

Specified by:

classifyInstance in interface weka.classifiers.Classifier

Overrides:

classifyInstance in class weka.classifiers.AbstractClassifier

Parameters:

instance - the instance to be classified

Returns:

the predicted most likely class for the instance or Instance.missingValue() if no prediction is made

Throws:

Exception - if an error occurred during the prediction

distributionForInstance

public double[] distributionForInstance(weka.core.Instance instance)
                                 throws Exception

Predicts the class memberships for a given instance. If an instance is unclassified, the returned array elements must be all zero. If the class is numeric, the array must consist of only one element, which contains the predicted value.

Specified by:

distributionForInstance in interface weka.classifiers.Classifier

Overrides:

distributionForInstance in class weka.classifiers.AbstractClassifier

Parameters:

instance - the instance to be classified

Returns:

an array containing the estimated membership probabilities of the test instance in each class or the numeric prediction

Throws:

Exception - if distribution could not be computed successfully

toString

public String toString()

Returns a string representation of the base classifier.

Overrides:

toString in class Object

Returns:

the base classifier's model

main

public static void main(String[] args)

Main method for running this class.

Parameters:

args - the options