Package weka.classifiers

Class SingleClassifierEnhancer

java.lang.Object

weka.classifiers.AbstractClassifier

weka.classifiers.SingleClassifierEnhancer

All Implemented Interfaces:

Serializable, Cloneable, Classifier, BatchPredictor, CapabilitiesHandler, CapabilitiesIgnorer, CommandlineRunnable, OptionHandler, RevisionHandler

Direct Known Subclasses:

AttributeSelectedClassifier, ClassificationViaRegression, InputMappedClassifier, IteratedSingleClassifierEnhancer, LWL, RandomizableSingleClassifierEnhancer, RegressionByDiscretization

public abstract class SingleClassifierEnhancer
extends AbstractClassifier

Abstract utility class for handling settings common to meta classifiers that use a single base learner.

Version:

$Revision: 15519 $

Author:

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

See Also:

• Serialized Form

Field Summary

Fields inherited from class weka.classifiers.AbstractClassifier

BATCH_SIZE_DEFAULT, NUM_DECIMAL_PLACES_DEFAULT

Constructor Summary

Constructors

Constructor	Description
SingleClassifierEnhancer()

Method Summary

Modifier and Type	Method	Description
String	classifierTipText()	Returns the tip text for this property
Capabilities	getCapabilities()	Returns default capabilities of the base classifier.
Classifier	getClassifier()	Get the classifier used as the base learner.
String[]	getOptions()	Gets the current settings of the Classifier.
Enumeration<Option>	listOptions()	Returns an enumeration describing the available options.
void	postExecution()	Perform any teardown stuff that might need to happen after execution.
void	preExecution()	Perform any setup stuff that might need to happen before commandline execution.
void	setClassifier(Classifier newClassifier)	Set the base learner.
void	setOptions(String[] options)	Parses a given list of options.

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

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

Methods inherited from interface weka.classifiers.Classifier

buildClassifier

Constructor Details

SingleClassifierEnhancer

public SingleClassifierEnhancer()

Method Details

listOptions

public Enumeration<Option> listOptions()

Returns an enumeration describing the available options.

Specified by:

listOptions in interface OptionHandler

Overrides:

listOptions in class AbstractClassifier

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.

Options after -- are passed to the designated classifier.

Specified by:

setOptions in interface OptionHandler

Overrides:

setOptions in class AbstractClassifier

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 AbstractClassifier

Returns:

an array of strings suitable for passing to setOptions

classifierTipText

public String classifierTipText()

Returns the tip text for this property

Returns:

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

getCapabilities

public Capabilities getCapabilities()

Returns default capabilities of the base classifier.

Specified by:

getCapabilities in interface CapabilitiesHandler

Specified by:

getCapabilities in interface Classifier

Overrides:

getCapabilities in class AbstractClassifier

Returns:

the capabilities of the base classifier

See Also:

• Capabilities

setClassifier

public void setClassifier(Classifier newClassifier)

Set the base learner.

Parameters:

newClassifier - the classifier to use.

getClassifier

public Classifier getClassifier()

Get the classifier used as the base learner.

Returns:

the classifier used as the classifier

preExecution

public void preExecution()
                  throws Exception

Description copied from class: AbstractClassifier

Perform any setup stuff that might need to happen before commandline execution. Subclasses should override if they need to do something here

Specified by:

preExecution in interface CommandlineRunnable

Overrides:

preExecution in class AbstractClassifier

Throws:

Exception - if a problem occurs during setup

postExecution

public void postExecution()
                   throws Exception

Description copied from class: AbstractClassifier

Perform any teardown stuff that might need to happen after execution. Subclasses should override if they need to do something here

Specified by:

postExecution in interface CommandlineRunnable

Overrides:

postExecution in class AbstractClassifier

Throws:

Exception - if a problem occurs during teardown