Class HyperPipes

java.lang.Object
weka.classifiers.Classifier
weka.classifiers.misc.HyperPipes
All Implemented Interfaces:
Serializable, Cloneable, CapabilitiesHandler, OptionHandler, RevisionHandler

public class HyperPipes extends Classifier
Class implementing a HyperPipe classifier. For each category a HyperPipe is constructed that contains all points of that category (essentially records the attribute bounds observed for each category). Test instances are classified according to the category that "most contains the instance".
Does not handle numeric class, or missing values in test cases. Extremely simple algorithm, but has the advantage of being extremely fast, and works quite well when you have "smegloads" of attributes.

Valid options are:

 -D
  If set, classifier is run in debug mode and
  may output additional info to the console
Version:
$Revision: 5528 $
Author:
Lucio de Souza Coelho (lucio@intelligenesis.net), Len Trigg (len@reeltwo.com)
See Also:
  • Constructor Details

    • HyperPipes

      public HyperPipes()
  • Method Details

    • globalInfo

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

      public Capabilities getCapabilities()
      Returns default capabilities of the classifier.
      Specified by:
      getCapabilities in interface CapabilitiesHandler
      Overrides:
      getCapabilities in class Classifier
      Returns:
      the capabilities of this classifier
      See Also:
    • buildClassifier

      public void buildClassifier(Instances instances) throws Exception
      Generates the classifier.
      Specified by:
      buildClassifier in class Classifier
      Parameters:
      instances - set of instances serving as training data
      Throws:
      Exception - if the classifier has not been generated successfully
    • updateClassifier

      public void updateClassifier(Instance instance) throws Exception
      Updates the classifier.
      Parameters:
      instance - the instance to be put into the classifier
      Throws:
      Exception - if the instance could not be included successfully
    • distributionForInstance

      public double[] distributionForInstance(Instance instance) throws Exception
      Classifies the given test instance.
      Overrides:
      distributionForInstance in class Classifier
      Parameters:
      instance - the instance to be classified
      Returns:
      the predicted class for the instance
      Throws:
      Exception - if the instance can't be classified
    • toString

      public String toString()
      Returns a description of this classifier.
      Overrides:
      toString in class Object
      Returns:
      a description of this classifier as a string.
    • getRevision

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

      public static void main(String[] argv)
      Main method for testing this class.
      Parameters:
      argv - should contain command line arguments for evaluation (see Evaluation).