Package weka.classifiers.meta

Class StackingC

java.lang.Object
weka.classifiers.Classifier
weka.classifiers.MultipleClassifiersCombiner
weka.classifiers.RandomizableMultipleClassifiersCombiner
weka.classifiers.meta.Stacking
weka.classifiers.meta.StackingC
All Implemented Interfaces:
Serializable, Cloneable, CapabilitiesHandler, OptionHandler, Randomizable, RevisionHandler, TechnicalInformationHandler
public class StackingC extends Stacking implements OptionHandler, TechnicalInformationHandler
Implements StackingC (more efficient version of stacking).

For more information, see

A.K. Seewald: How to Make Stacking Better and Faster While Also Taking Care of an Unknown Weakness. In: Nineteenth International Conference on Machine Learning, 554-561, 2002.

Note: requires meta classifier to be a numeric prediction scheme.

BibTeX: 

 @inproceedings{Seewald2002,
    author = {A.K. Seewald},
    booktitle = {Nineteenth International Conference on Machine Learning},
    editor = {C. Sammut and A. Hoffmann},
    pages = {554-561},
    publisher = {Morgan Kaufmann Publishers},
    title = {How to Make Stacking Better and Faster While Also Taking Care of an Unknown Weakness},
    year = {2002}
 }

Valid options are: 

 -M <scheme specification>
  Full name of meta classifier, followed by options.
  Must be a numeric prediction scheme. Default: Linear Regression.
 -X <number of folds>
  Sets the number of cross-validation folds.
 -S <num>
  Random number seed.
  (default 1)
 -B <classifier specification>
  Full class name of classifier to include, followed
  by scheme options. May be specified multiple times.
  (default: "weka.classifiers.rules.ZeroR")
 -D
  If set, classifier is run in debug mode and
  may output additional info to the console
Version:
$Revision: 1.15 $
Author:
Eibe Frank (eibe@cs.waikato.ac.nz), Alexander K. Seewald (alex@seewald.at)
See Also:

  • Constructor Details

    • StackingC

      public StackingC()
      The constructor.

  • Method Details

    • globalInfo

      public String globalInfo()
      Returns a string describing classifier
      Overrides:
      globalInfo in class Stacking
      Returns:
      a description suitable for displaying in the explorer/experimenter gui

    • 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 interface TechnicalInformationHandler
      Overrides:
      getTechnicalInformation in class Stacking
      Returns:
      the technical information about this class

    • distributionForInstance

      public double[] distributionForInstance(Instance instance) throws Exception
      Classifies a given instance using the stacked classifier.
      Overrides:
      distributionForInstance in class Stacking
      Parameters:
      instance - the instance to be classified
      Returns:
      the distribution
      Throws:
      Exception - if instance could not be classified successfully

    • toString

      public String toString()
      Output a representation of this classifier
      Overrides:
      toString in class Stacking
      Returns:
      a string representation of the classifier

    • getRevision

      public String getRevision()
      Returns the revision string.
      Specified by:
      getRevision in interface RevisionHandler
      Overrides:
      getRevision in class Stacking
      Returns:
      the revision

    • main

      public static void main(String[] argv)
      Main method for testing this class.
      Parameters:
      argv - should contain the following arguments: -t training file [-T test file] [-c class index]