weka.classifiers

Class IteratedSingleClassifierEnhancer

java.lang.Object

weka.classifiers.AbstractClassifier

weka.classifiers.SingleClassifierEnhancer

weka.classifiers.IteratedSingleClassifierEnhancer

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, Classifier, BatchPredictor, CapabilitiesHandler, CapabilitiesIgnorer, CommandlineRunnable, 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.

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected Classifier[]	m_Classifiers Array for storing the generated base classifiers.
protected int	m_NumIterations The number of iterations.

Fields inherited from class weka.classifiers.SingleClassifierEnhancer

m_Classifier

Fields inherited from class weka.classifiers.AbstractClassifier

BATCH_SIZE_DEFAULT, m_BatchSize, m_Debug, m_DoNotCheckCapabilities, m_numDecimalPlaces, NUM_DECIMAL_PLACES_DEFAULT

Constructor Summary

Constructors

Constructor and Description
IteratedSingleClassifierEnhancer()

Method Summary

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

Methods inherited from class weka.classifiers.SingleClassifierEnhancer

classifierTipText, defaultClassifierOptions, defaultClassifierString, getCapabilities, getClassifier, getClassifierSpec, postExecution, preExecution, setClassifier

Methods inherited from class weka.classifiers.AbstractClassifier

batchSizeTipText, classifyInstance, debugTipText, distributionForInstance, distributionsForInstances, doNotCheckCapabilitiesTipText, forName, getBatchSize, getDebug, getDoNotCheckCapabilities, getNumDecimalPlaces, getRevision, implementsMoreEfficientBatchPrediction, makeCopies, makeCopy, numDecimalPlacesTipText, run, runClassifier, setBatchSize, setDebug, setDoNotCheckCapabilities, setNumDecimalPlaces

Methods inherited from class java.lang.Object

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

Field Detail

m_Classifiers

protected Classifier[] m_Classifiers

Array for storing the generated base classifiers.

m_NumIterations

protected int m_NumIterations

The number of iterations.

Constructor Detail

IteratedSingleClassifierEnhancer

public IteratedSingleClassifierEnhancer()

Method Detail

defaultNumberOfIterations

protected int defaultNumberOfIterations()

The default number of iterations to perform.

buildClassifier

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

Stump method for building the classifiers.

Parameters:

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

Throws:

java.lang.Exception - if the classifier could not be built successfully

listOptions

public java.util.Enumeration<Option> 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(java.lang.String[] options)
                throws java.lang.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:

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 SingleClassifierEnhancer

Returns:

an array of strings suitable for passing to setOptions

numIterationsTipText

public java.lang.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