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## weka.classifiers.misc
Class HyperPipes

    java.lang.Object
      weka.classifiers.Classifier
          weka.classifiers.misc.HyperPipes

All Implemented Interfaces:
  java.io.Serializable, java.lang.Cloneable, OptionHandler

    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.

Version:
  $Revision: 1.15.2.1 $
Author:
  Lucio de Souza Coelho (lucio@intelligenesis.net), Len Trigg (len@reeltwo.com)
See Also:
  Serialized Form

Constructor Summary
`HyperPipes()`

Method Summary
`void` | `buildClassifier(Instances instances)` Generates the classifier.
`double[]` | `distributionForInstance(Instance instance)` Classifies the given test instance.
`java.lang.String` | `globalInfo()` Returns a string describing classifier
`static void` | `main(java.lang.String[] argv)` Main method for testing this class.
`java.lang.String` | `toString()` Returns a description of this classifier.
`void` | `updateClassifier(Instance instance)` Updates the classifier.

Methods inherited from class weka.classifiers.Classifier
`classifyInstance, debugTipText, forName, getDebug, getOptions, listOptions, makeCopies, makeCopy, setDebug, setOptions`

Methods inherited from class java.lang.Object
`equals, getClass, hashCode, notify, notifyAll, wait, wait, wait`

Constructor Detail

### HyperPipes

    public HyperPipes()

Method Detail

### globalInfo

    public java.lang.String globalInfo()

  Returns a string describing classifier

  Returns:
    a description suitable for displaying in the explorer/experimenter gui

### buildClassifier

    public void buildClassifier(Instances instances)
                         throws java.lang.Exception

  Generates the classifier.

  Specified by:
    `buildClassifier` in class `Classifier`
  Parameters:
    `instances` - set of instances serving as training data
  Throws:
    `java.lang.Exception` - if the classifier has not been generated successfully

### updateClassifier

    public void updateClassifier(Instance instance)
                          throws java.lang.Exception

  Updates the classifier.

  Parameters:
    `instance` - the instance to be put into the classifier
  Throws:
    `java.lang.Exception` - if the instance could not be included successfully

### distributionForInstance

    public double[] distributionForInstance(Instance instance)
                                     throws java.lang.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:
    `java.lang.Exception` - if the instance can't be classified

### toString

    public java.lang.String toString()

  Returns a description of this classifier.

  Overrides:
    `toString` in class `java.lang.Object`
  Returns:
    a description of this classifier as a string.

### main

    public static void main(java.lang.String[] argv)

  Main method for testing this class.

  Parameters:
    `argv` - should contain command line arguments for evaluation (see Evaluation).

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