Package adams.flow.transformer.wekaclassifiersetupprocessor

Class VotedPairs

java.lang.Object

adams.core.logging.LoggingObject

adams.core.logging.CustomLoggingLevelObject

adams.core.option.AbstractOptionHandler

adams.flow.transformer.wekaclassifiersetupprocessor.AbstractClassifierSetupProcessor

adams.flow.transformer.wekaclassifiersetupprocessor.VotedPairs

All Implemented Interfaces:

adams.core.Destroyable, adams.core.GlobalInfoSupporter, adams.core.logging.LoggingLevelHandler, adams.core.logging.LoggingSupporter, adams.core.option.OptionHandler, adams.core.SizeOfHandler, Serializable

public class VotedPairs
extends AbstractClassifierSetupProcessor

Generates an array of classifiers that contains the original ones, but also all possible classifier pairs encapsulated in the Vote meta-classifier.

Author:

FracPete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	VotedPairs.VotingType	How the voting is done.

Field Summary

Fields

Modifier and Type	Field	Description
protected VotedPairs.VotingType	m_VotingType	the type of voting to perform .

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
VotedPairs()

Method Summary

Modifier and Type	Method	Description
void	defineOptions()	Adds options to the internal list of options.
protected weka.classifiers.Classifier[]	doProcess(weka.classifiers.Classifier[] classifiers)	Processes the classifier array.
VotedPairs.VotingType	getVotingType()	Returns the type of voting in use.
String	globalInfo()	Returns a string describing the object.
void	setVotingType(VotedPairs.VotingType value)	Sets the type of voting to use.
String	votingTypeTipText()	Returns the tip text for this property.

Methods inherited from class adams.flow.transformer.wekaclassifiersetupprocessor.AbstractClassifierSetupProcessor

check, process

Methods inherited from class adams.core.option.AbstractOptionHandler

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

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_VotingType

protected VotedPairs.VotingType m_VotingType

the type of voting to perform .

Constructor Detail

VotedPairs

public VotedPairs()

Method Detail

globalInfo

public String globalInfo()

Returns a string describing the object.

Specified by:

globalInfo in interface adams.core.GlobalInfoSupporter

Specified by:

globalInfo in class adams.core.option.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 adams.core.option.OptionHandler

Overrides:

defineOptions in class adams.core.option.AbstractOptionHandler

setVotingType

public void setVotingType(VotedPairs.VotingType value)

Sets the type of voting to use.

Parameters:

value - the type

getVotingType

public VotedPairs.VotingType getVotingType()

Returns the type of voting in use.

Returns:

the type

votingTypeTipText

public String votingTypeTipText()

Returns the tip text for this property.

Returns:

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

doProcess

protected weka.classifiers.Classifier[] doProcess(weka.classifiers.Classifier[] classifiers)

Processes the classifier array.

Specified by:

doProcess in class AbstractClassifierSetupProcessor

Parameters:

classifiers - the classifiers to process

Returns:

the processed classifiers