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:
adams.core.Destroyable
,adams.core.GlobalInfoSupporter
,adams.core.logging.LoggingLevelHandler
,adams.core.logging.LoggingSupporter
,adams.core.option.OptionHandler
,adams.core.QuickInfoSupporter
,adams.core.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).
-
Constructor Summary
Constructors Constructor Description RemoveWorst()
-
Method Summary
All Methods Instance Methods Concrete Methods 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
-
-
-
-
Method Detail
-
globalInfo
public String globalInfo()
Returns a string describing the object.- Specified by:
globalInfo
in interfaceadams.core.GlobalInfoSupporter
- Specified by:
globalInfo
in classadams.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 interfaceadams.core.option.OptionHandler
- Overrides:
defineOptions
in classadams.core.option.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 interfaceadams.core.QuickInfoSupporter
- Overrides:
getQuickInfo
in classAbstractWekaEvaluationPostProcessor
- 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 classAbstractWekaEvaluationPostProcessor
- Parameters:
eval
- the Evaluation to post-process- Returns:
- the generated evaluations
-
-