Package adams.flow.transformer.wekaevaluationpostprocessor

Class RemoveWorst

java.lang.Object

adams.core.logging.LoggingObject

adams.core.logging.CustomLoggingLevelObject

adams.core.option.AbstractOptionHandler

adams.flow.transformer.wekaevaluationpostprocessor.AbstractWekaEvaluationPostProcessor

adams.flow.transformer.wekaevaluationpostprocessor.AbstractNumericClassPostProcessor

adams.flow.transformer.wekaevaluationpostprocessor.RemoveWorst

All Implemented Interfaces:

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

public class RemoveWorst
extends AbstractNumericClassPostProcessor

Removes the worst predictions, which are considered outliers that detract from the actual model performance. Only works on numeric predictions.

Author:

FracPete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
protected double	m_Percent	the percentage of the worst predictions to remove (0-1).

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
RemoveWorst()

Method Summary

Modifier and Type	Method	Description
void	defineOptions()	Adds options to the internal list of options.
protected List<weka.classifiers.Evaluation>	doPostProcess(weka.classifiers.Evaluation eval)	Post-processes the evaluation.
double	getPercent()	Returns the percentage to remove.
String	getQuickInfo()	Returns a quick info about the object, which can be displayed in the GUI.
String	globalInfo()	Returns a string describing the object.
String	percentTipText()	Returns the tip text for this property.
void	setPercent(double value)	Sets the percentage to remove.

Methods inherited from class adams.flow.transformer.wekaevaluationpostprocessor.AbstractNumericClassPostProcessor

check

Methods inherited from class adams.flow.transformer.wekaevaluationpostprocessor.AbstractWekaEvaluationPostProcessor

check, doPostProcess, newContainer, newEvaluation, postProcess, postProcess

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_Percent

protected double m_Percent

the percentage of the worst predictions to remove (0-1).

Constructor Detail

RemoveWorst

public RemoveWorst()

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

setPercent

public void setPercent(double value)

Sets the percentage to remove.

Parameters:

value - the percent (0-1)

getPercent

public double getPercent()

Returns the percentage to remove.

Returns:

the percent (0-1)

percentTipText

public String percentTipText()

Returns the tip text for this property.

Returns:

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

getQuickInfo

public String getQuickInfo()

Returns a quick info about the object, which can be displayed in the GUI.

Specified by:

getQuickInfo in interface QuickInfoSupporter

Overrides:

getQuickInfo in class AbstractWekaEvaluationPostProcessor

Returns:

null if no info available, otherwise short string

doPostProcess

protected List<weka.classifiers.Evaluation> doPostProcess(weka.classifiers.Evaluation eval)

Post-processes the evaluation.

Specified by:

doPostProcess in class AbstractWekaEvaluationPostProcessor

Parameters:

eval - the Evaluation to post-process

Returns:

the generated evaluations