Package weka.classifiers.functions

Class AttributeAsPredictionClassifier

java.lang.Object

adams.core.logging.LoggingObject

adams.core.logging.CustomLoggingLevelObject

adams.core.option.AbstractOptionHandler

weka.core.AbstractSimpleOptionHandler

weka.classifiers.simple.AbstractSimpleClassifier

weka.classifiers.functions.AttributeAsPredictionClassifier

All Implemented Interfaces:

Destroyable, GlobalInfoSupporter, LoggingLevelHandler, LoggingSupporter, OptionHandler, SizeOfHandler, Serializable, weka.classifiers.Classifier, weka.core.CapabilitiesHandler, weka.core.OptionHandler

public class AttributeAsPredictionClassifier
extends AbstractSimpleClassifier

Simply uses the specified attribute as prediction output. Workaround for making co-variables available to Stacking.

Author:

fracpete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
protected int	m_ActualIndex	the actual attribute index.
protected WekaAttributeIndex	m_AttIndex	the attribute to use as prediction.

Fields inherited from class adams.core.option.AbstractOptionHandler

m_OptionManager

Fields inherited from class adams.core.logging.LoggingObject

m_Logger, m_LoggingIsEnabled, m_LoggingLevel

Constructor Summary

Constructors

Constructor	Description
AttributeAsPredictionClassifier()

Method Summary

Modifier and Type	Method	Description
String	attIndexTipText()	Returns the tip text for this property.
void	buildClassifier(weka.core.Instances data)	Generates a classifier.
double	classifyInstance(weka.core.Instance instance)	Classifies the given test instance.
void	defineOptions()	Adds options to the internal list of options.
WekaAttributeIndex	getAttIndex()	Returns the attribute to use for prediction.
weka.core.Capabilities	getCapabilities()	Returns the Capabilities of this classifier.
String	globalInfo()	Returns a string describing the object.
void	setAttIndex(WekaAttributeIndex value)	Sets the attribute to use for prediction.
String	toString()	Returns a string representation of the options.

Methods inherited from class weka.classifiers.simple.AbstractSimpleClassifier

distributionForInstance, runClassifier

Methods inherited from class weka.core.AbstractSimpleOptionHandler

getOptions, listOptions, setOptions

Methods inherited from class adams.core.option.AbstractOptionHandler

cleanUpOptions, destroy, finishInit, getDefaultLoggingLevel, getOptionManager, initialize, loggingLevelTipText, newOptionManager, reset, setLoggingLevel, toCommandLine

Methods inherited from class adams.core.logging.LoggingObject

configureLogger, getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled, sizeOf

Methods inherited from class java.lang.Object

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

Methods inherited from interface adams.core.logging.LoggingLevelHandler

getLoggingLevel

Field Detail

m_AttIndex

protected WekaAttributeIndex m_AttIndex

the attribute to use as prediction.

m_ActualIndex

protected int m_ActualIndex

the actual attribute index.

Constructor Detail

AttributeAsPredictionClassifier

public AttributeAsPredictionClassifier()

Method Detail

globalInfo

public String globalInfo()

Returns a string describing the object.

Specified by:

globalInfo in interface GlobalInfoSupporter

Specified by:

globalInfo in class AbstractOptionHandler

Returns:

a description suitable for displaying in the gui

defineOptions

public void defineOptions()

Adds options to the internal list of options.

Specified by:

defineOptions in interface OptionHandler

Overrides:

defineOptions in class AbstractOptionHandler

setAttIndex

public void setAttIndex(WekaAttributeIndex value)

Sets the attribute to use for prediction.

Parameters:

value - the index

getAttIndex

public WekaAttributeIndex getAttIndex()

Returns the attribute to use for prediction.

Returns:

the index

attIndexTipText

public String attIndexTipText()

Returns the tip text for this property.

Returns:

tip text for this property suitable for displaying in the GUI or for listing the options.

getCapabilities

public weka.core.Capabilities getCapabilities()

Returns the Capabilities of this classifier.

Specified by:

getCapabilities in interface weka.core.CapabilitiesHandler

Specified by:

getCapabilities in interface weka.classifiers.Classifier

Overrides:

getCapabilities in class AbstractSimpleClassifier

Returns:

the capabilities of this object

See Also:

Capabilities

buildClassifier

public void buildClassifier(weka.core.Instances data)
                     throws Exception

Generates a classifier. Must initialize all fields of the classifier that are not being set via options (ie. multiple calls of buildClassifier must always lead to the same result). Must not change the dataset in any way.

Parameters:

data - set of instances serving as training data

Throws:

Exception - if the classifier has not been generated successfully

classifyInstance

public double classifyInstance(weka.core.Instance instance)
                        throws Exception

Classifies the given test instance. The instance has to belong to a dataset when it's being classified.

Specified by:

classifyInstance in interface weka.classifiers.Classifier

Overrides:

classifyInstance in class AbstractSimpleClassifier

Parameters:

instance - the instance to be classified

Returns:

the predicted most likely class for the instance or Utils.missingValue() if no prediction is made

Throws:

Exception - if an error occurred during the prediction

toString

public String toString()

Returns a string representation of the options.

Overrides:

toString in class AbstractOptionHandler

Returns:

a string representation