weka.classifiers
Class RandomizableMultipleClassifiersCombiner

java.lang.Object
  weka.classifiers.Classifier
      weka.classifiers.MultipleClassifiersCombiner
          weka.classifiers.RandomizableMultipleClassifiersCombiner

All Implemented Interfaces:

java.lang.Cloneable, OptionHandler, Randomizable, java.io.Serializable

Direct Known Subclasses:

MultiScheme, Stacking

public abstract class RandomizableMultipleClassifiersCombiner

extends MultipleClassifiersCombiner

implements Randomizable

Abstract utility class for handling settings common to randomizable meta classifiers that build an ensemble from multiple classifiers based on a given random number seed.

Version:

$Revision: 1.1 $

Author:

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

See Also:

Serialized Form

Field Summary

protected int

m_Seed The random number seed.

Fields inherited from class weka.classifiers.MultipleClassifiersCombiner

m_Classifiers

Fields inherited from class weka.classifiers.Classifier

m_Debug

Constructor Summary

RandomizableMultipleClassifiersCombiner()

Method Summary

java.lang.String[]	getOptions() Gets the current settings of the classifier.
int	getSeed() Gets the seed for the random number generations
java.util.Enumeration	listOptions() Returns an enumeration describing the available options.
java.lang.String	seedTipText() Returns the tip text for this property
void	setOptions(java.lang.String[] options) Parses a given list of options.
void	setSeed(int seed) Set the seed for random number generation.

Methods inherited from class weka.classifiers.MultipleClassifiersCombiner

classifiersTipText, getClassifier, getClassifiers, getClassifierSpec, setClassifiers

Methods inherited from class weka.classifiers.Classifier

buildClassifier, classifyInstance, debugTipText, distributionForInstance, forName, getDebug, makeCopies, setDebug

Methods inherited from class java.lang.Object

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

Field Detail

m_Seed

protected int m_Seed

The random number seed.

Constructor Detail

RandomizableMultipleClassifiersCombiner

public RandomizableMultipleClassifiersCombiner()

Method Detail

listOptions

public java.util.Enumeration listOptions()

Returns an enumeration describing the available options.

Specified by:

listOptions in interface OptionHandler

Overrides:

listOptions in class MultipleClassifiersCombiner

Returns:

an enumeration of all the available options.

setOptions

public void setOptions(java.lang.String[] options)
                throws java.lang.Exception

Parses a given list of options. Valid options are:

-B classifierstring
Classifierstring should contain the full class name of a scheme included for selection followed by options to the classifier (required, option should be used once for each classifier).

-S num
Set the random number seed (default 1).

Specified by:

setOptions in interface OptionHandler

Overrides:

setOptions in class MultipleClassifiersCombiner

Parameters:

options - the list of options as an array of strings

Throws:

java.lang.Exception - if an option is not supported

getOptions

public java.lang.String[] getOptions()

Gets the current settings of the classifier.

Specified by:

getOptions in interface OptionHandler

Overrides:

getOptions in class MultipleClassifiersCombiner

Returns:

an array of strings suitable for passing to setOptions

seedTipText

public java.lang.String seedTipText()

Returns the tip text for this property

Returns:

tip text for this property suitable for displaying in the explorer/experimenter gui

setSeed

public void setSeed(int seed)

Set the seed for random number generation.

Specified by:

setSeed in interface Randomizable

Parameters:

seed - the seed

getSeed

public int getSeed()

Gets the seed for the random number generations

Specified by:

getSeed in interface Randomizable

Returns:

the seed for the random number generation