weka.classifiers
Class HyperPipes

java.lang.Object
  |
  +--weka.classifiers.Classifier
        |
        +--weka.classifiers.DistributionClassifier
              |
              +--weka.classifiers.HyperPipes

All Implemented Interfaces:

java.lang.Cloneable, java.io.Serializable

public class HyperPipes

extends DistributionClassifier

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.

Author:

Lucio de Souza Coelho (lucio@intelligenesis.net), Len Trigg (len@intelligenesis.net)

See Also:

Serialized Form

Field Summary

protected int	m_ClassIndex The index of the class attribute
protected weka.classifiers.HyperPipes.HyperPipe[]	m_HyperPipes Stores the HyperPipe for each class
protected Instances	m_Instances The structure of the training data

Constructor Summary

HyperPipes()

Method Summary

void	buildClassifier(Instances instances) Generates the classifier.
double[]	distributionForInstance(Instance instance) Classifies the given test instance.
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.DistributionClassifier

classifyInstance

Methods inherited from class weka.classifiers.Classifier

forName, makeCopies

Methods inherited from class java.lang.Object

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

Field Detail

m_ClassIndex

protected int m_ClassIndex

The index of the class attribute

m_Instances

protected Instances m_Instances

The structure of the training data

m_HyperPipes

protected weka.classifiers.HyperPipes.HyperPipe[] m_HyperPipes

Stores the HyperPipe for each class

Constructor Detail

HyperPipes

public HyperPipes()

Method Detail

buildClassifier

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

Generates the classifier.

Overrides:

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 DistributionClassifier

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).