weka.classifiers
Class ZeroR

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

All Implemented Interfaces:

java.lang.Cloneable, java.io.Serializable, WeightedInstancesHandler

public class ZeroR

extends DistributionClassifier

implements WeightedInstancesHandler

Class for building and using a 0-R classifier. Predicts the mean (for a numeric class) or the mode (for a nominal class).

Author:

Eibe Frank (eibe@cs.waikato.ac.nz)

See Also:

Serialized Form

Constructor Summary

ZeroR()

Method Summary

void	buildClassifier(Instances instances) Generates the classifier.
double	classifyInstance(Instance instance) Classifies a given instance.
double[]	distributionForInstance(Instance instance) Calculates the class membership probabilities for 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 the classifier.

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

Constructor Detail

ZeroR

public ZeroR()

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

classifyInstance

public double classifyInstance(Instance instance)

Classifies a given instance.

Overrides:

classifyInstance in class DistributionClassifier

Parameters:

instance - the instance to be classified

Returns:

index of the predicted class

distributionForInstance

public double[] distributionForInstance(Instance instance)
                                 throws java.lang.Exception

Calculates the class membership probabilities for the given test instance.

Overrides:

distributionForInstance in class DistributionClassifier

Parameters:

instance - the instance to be classified

Returns:

predicted class probability distribution

Throws:

java.lang.Exception - if class is numeric

toString

public java.lang.String toString()

Returns a description of the classifier.

Overrides:

toString in class java.lang.Object

Returns:

a description of the classifier as a string.

main

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

Main method for testing this class.

Parameters:

argv - the options