weka.classifiers

Class IteratedSingleClassifierEnhancer

java.lang.Object

weka.classifiers.AbstractClassifier

weka.classifiers.SingleClassifierEnhancer

weka.classifiers.IteratedSingleClassifierEnhancer

All Implemented Interfaces:

Serializable, Cloneable, Classifier, CapabilitiesHandler, OptionHandler, RevisionHandler

Direct Known Subclasses:

AdditiveRegression, ParallelIteratedSingleClassifierEnhancer, RandomizableIteratedSingleClassifierEnhancer

public abstract class IteratedSingleClassifierEnhancer
extends SingleClassifierEnhancer

Abstract utility class for handling settings common to meta classifiers that build an ensemble from a single base learner.

Version:

$Revision: 8034 $

Author:

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

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
IteratedSingleClassifierEnhancer()

Method Summary

Methods

Modifier and Type	Method and Description
void	buildClassifier(Instances data) Stump method for building the classifiers.
int	getNumIterations() Gets the number of bagging iterations
String[]	getOptions() Gets the current settings of the classifier.
Enumeration	listOptions() Returns an enumeration describing the available options.
String	numIterationsTipText() Returns the tip text for this property
void	setNumIterations(int numIterations) Sets the number of bagging iterations
void	setOptions(String[] options) Parses a given list of options.

Methods inherited from class weka.classifiers.SingleClassifierEnhancer

classifierTipText, getCapabilities, getClassifier, setClassifier

Methods inherited from class weka.classifiers.AbstractClassifier

classifyInstance, debugTipText, distributionForInstance, forName, getDebug, getRevision, makeCopies, makeCopy, runClassifier, setDebug

Methods inherited from class java.lang.Object

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

Constructor Detail

IteratedSingleClassifierEnhancer

public IteratedSingleClassifierEnhancer()

Method Detail

buildClassifier

public void buildClassifier(Instances data)
                     throws Exception

Stump method for building the classifiers.

Parameters:

data - the training data to be used for generating the bagged classifier.

Throws:

Exception - if the classifier could not be built successfully

listOptions

public Enumeration listOptions()

Returns an enumeration describing the available options.

Specified by:

listOptions in interface OptionHandler

Overrides:

listOptions in class SingleClassifierEnhancer

Returns:

an enumeration of all the available options.

setOptions

public void setOptions(String[] options)
                throws Exception

Parses a given list of options. Valid options are:

-W classname
Specify the full class name of the base learner.

-I num
Set the number of iterations (default 10).

Options after -- are passed to the designated classifier.

Specified by:

setOptions in interface OptionHandler

Overrides:

setOptions in class SingleClassifierEnhancer

Parameters:

options - the list of options as an array of strings

Throws:

Exception - if an option is not supported

getOptions

public String[] getOptions()

Gets the current settings of the classifier.

Specified by:

getOptions in interface OptionHandler

Overrides:

getOptions in class SingleClassifierEnhancer

Returns:

an array of strings suitable for passing to setOptions

numIterationsTipText

public String numIterationsTipText()

Returns the tip text for this property

Returns:

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

setNumIterations

public void setNumIterations(int numIterations)

Sets the number of bagging iterations

getNumIterations

public int getNumIterations()

Gets the number of bagging iterations

Returns:

the maximum number of bagging iterations