Package adams.flow.transformer.wekaensemblegenerator

Class MultiClassifiersCombinerModels

java.lang.Object

adams.core.logging.LoggingObject

adams.core.logging.CustomLoggingLevelObject

adams.core.option.AbstractOptionHandler

adams.flow.transformer.wekaensemblegenerator.AbstractWekaEnsembleGenerator

adams.flow.transformer.wekaensemblegenerator.MultiClassifiersCombinerModels

All Implemented Interfaces:

Destroyable, GlobalInfoSupporter, LoggingLevelHandler, LoggingSupporter, OptionHandler, SizeOfHandler, Serializable

public class MultiClassifiersCombinerModels
extends AbstractWekaEnsembleGenerator

Generates a MultipleClassifiersCombiner meta-classifier from the incoming pre-built classifier models.

Author:

FracPete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
protected weka.classifiers.MultipleClassifiersCombiner	m_Template	the vote template.

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
MultiClassifiersCombinerModels()

Method Summary

Modifier and Type	Method	Description
Class[]	accepts()	Returns the input data the generator processes.
protected String	check(Object input)	Check method before generating the ensemble.
void	defineOptions()	Adds options to the internal list of options.
protected Object	doGenerate(Object input)	Generates the ensemble from the input.
Class[]	generates()	Returns the output data the generator generates.
weka.classifiers.MultipleClassifiersCombiner	getTemplate()	Returns the MultipleClassifiersCombiner template to use.
String	globalInfo()	Returns a string describing the object.
void	setTemplate(weka.classifiers.MultipleClassifiersCombiner value)	Sets the MultipleClassifiersCombiner template to use.
String	templateTipText()	Returns the tip text for this property.

Methods inherited from class adams.flow.transformer.wekaensemblegenerator.AbstractWekaEnsembleGenerator

generate

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_Template

protected weka.classifiers.MultipleClassifiersCombiner m_Template

the vote template.

Constructor Detail

MultiClassifiersCombinerModels

public MultiClassifiersCombinerModels()

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

setTemplate

public void setTemplate(weka.classifiers.MultipleClassifiersCombiner value)

Sets the MultipleClassifiersCombiner template to use.

Parameters:

value - the template

getTemplate

public weka.classifiers.MultipleClassifiersCombiner getTemplate()

Returns the MultipleClassifiersCombiner template to use.

Returns:

the template

templateTipText

public String templateTipText()

Returns the tip text for this property.

Returns:

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

accepts

public Class[] accepts()

Returns the input data the generator processes.

Specified by:

accepts in class AbstractWekaEnsembleGenerator

Returns:

the accepted classes

generates

public Class[] generates()

Returns the output data the generator generates.

Specified by:

generates in class AbstractWekaEnsembleGenerator

Returns:

the generated classes

check

protected String check(Object input)

Check method before generating the ensemble.

Overrides:

check in class AbstractWekaEnsembleGenerator

Parameters:

input - the input to use

Returns:

null if checks passed, otherwise error message

doGenerate

protected Object doGenerate(Object input)

Generates the ensemble from the input.

Specified by:

doGenerate in class AbstractWekaEnsembleGenerator

Parameters:

input - the input to use

Returns:

the generated ensemble