weka.classifiers.meta

Class MultiClassClassifierUpdateable

java.lang.Object

weka.classifiers.AbstractClassifier

weka.classifiers.SingleClassifierEnhancer

weka.classifiers.RandomizableSingleClassifierEnhancer

weka.classifiers.meta.MultiClassClassifier

weka.classifiers.meta.MultiClassClassifierUpdateable

All Implemented Interfaces:

Serializable, Cloneable, Classifier, UpdateableClassifier, CapabilitiesHandler, OptionHandler, Randomizable, RevisionHandler

public class MultiClassClassifierUpdateable
extends MultiClassClassifier
implements OptionHandler, UpdateableClassifier

A metaclassifier for handling multi-class datasets with 2-class classifiers. This classifier is also capable of applying error correcting output codes for increased accuracy. The base classifier must be an updateable classifier

Valid options are:

 -M <num>
  Sets the method to use. Valid values are 0 (1-against-all),
  1 (random codes), 2 (exhaustive code), and 3 (1-against-1). (default 0)
 

 -R <num>
  Sets the multiplier when using random codes. (default 2.0)

 -P
  Use pairwise coupling (only has an effect for 1-against1)

 -S <num>
  Random number seed.
  (default 1)

 -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.functions.Logistic)

 
 Options specific to classifier weka.classifiers.functions.Logistic:
 

 -D
  Turn on debugging output.

 -R <ridge>
  Set the ridge in the log-likelihood.

 -M <number>
  Set the maximum number of iterations (default -1, until convergence).

Version:

$Revision: 8034 $

Author:

Eibe Frank (eibe@cs.waikato.ac.nz), Len Trigg (len@reeltwo.com), Richard Kirkby (rkirkby@cs.waikato.ac.nz), Mark Hall (mhall{[at]}pentaho{[dot]}com)

See Also:

Serialized Form

Field Summary

Fields inherited from class weka.classifiers.meta.MultiClassClassifier

METHOD_1_AGAINST_1, METHOD_1_AGAINST_ALL, METHOD_ERROR_EXHAUSTIVE, METHOD_ERROR_RANDOM, TAGS_METHOD

Constructor Summary

Constructors

Constructor and Description
MultiClassClassifierUpdateable()

Method Summary

Methods

Modifier and Type	Method and Description
void	buildClassifier(Instances insts) Builds the classifiers.
double[]	distributionForInstance(Instance inst) Returns the distribution for an instance.
String	getRevision() Returns the revision string.
String	globalInfo()
static void	main(String[] argv) Main method for testing this class.
void	updateClassifier(Instance instance) Updates the classifier with the given instance.

Methods inherited from class weka.classifiers.meta.MultiClassClassifier

getCapabilities, getMethod, getOptions, getRandomWidthFactor, getUsePairwiseCoupling, individualPredictions, listOptions, methodTipText, pairwiseCoupling, randomWidthFactorTipText, setMethod, setOptions, setRandomWidthFactor, setUsePairwiseCoupling, toString, usePairwiseCouplingTipText

Methods inherited from class weka.classifiers.RandomizableSingleClassifierEnhancer

getSeed, seedTipText, setSeed

Methods inherited from class weka.classifiers.SingleClassifierEnhancer

classifierTipText, getClassifier, setClassifier

Methods inherited from class weka.classifiers.AbstractClassifier

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

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface weka.core.OptionHandler

getOptions, listOptions, setOptions

Constructor Detail

MultiClassClassifierUpdateable

public MultiClassClassifierUpdateable()

Method Detail

globalInfo

public String globalInfo()

Overrides:

globalInfo in class MultiClassClassifier

Returns:

a description of the classifier suitable for displaying in the explorer/experimenter gui

buildClassifier

public void buildClassifier(Instances insts)
                     throws Exception

Description copied from class: MultiClassClassifier

Builds the classifiers.

Specified by:

buildClassifier in interface Classifier

Overrides:

buildClassifier in class MultiClassClassifier

Parameters:

insts - the training data.

Throws:

Exception - if a classifier can't be built

updateClassifier

public void updateClassifier(Instance instance)
                      throws Exception

Updates the classifier with the given instance.

Specified by:

updateClassifier in interface UpdateableClassifier

Parameters:

instance - the new training instance to include in the model

Throws:

Exception - if the instance could not be incorporated in the model.

distributionForInstance

public double[] distributionForInstance(Instance inst)
                                 throws Exception

Returns the distribution for an instance.

Specified by:

distributionForInstance in interface Classifier

Overrides:

distributionForInstance in class MultiClassClassifier

Parameters:

inst - the instance to get the distribution for

Returns:

the distribution

Throws:

Exception - if the distribution can't be computed successfully

getRevision

public String getRevision()

Returns the revision string.

Specified by:

getRevision in interface RevisionHandler

Overrides:

getRevision in class MultiClassClassifier

Returns:

the revision

main

public static void main(String[] argv)

Main method for testing this class.

Parameters:

argv - the options