Class RemoveWorstStdDev
- java.lang.Object
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- adams.core.logging.LoggingObject
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- adams.core.logging.CustomLoggingLevelObject
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- adams.core.option.AbstractOptionHandler
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- adams.flow.transformer.wekaevaluationpostprocessor.AbstractWekaEvaluationPostProcessor
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- adams.flow.transformer.wekaevaluationpostprocessor.AbstractNumericClassPostProcessor
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- adams.flow.transformer.wekaevaluationpostprocessor.RemoveWorstStdDev
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- All Implemented Interfaces:
Destroyable,GlobalInfoSupporter,LoggingLevelHandler,LoggingSupporter,OptionHandler,QuickInfoSupporter,SizeOfHandler,Serializable
public class RemoveWorstStdDev extends AbstractNumericClassPostProcessor
Removes the worst predictions, which are considered outliers that detract from the actual model performance. Uses a standard deviation based approach (threshold: mean + multiplier*stdev). Only works on numeric predictions.- Author:
- FracPete (fracpete at waikato dot ac dot nz)
- See Also:
- Serialized Form
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Field Summary
Fields Modifier and Type Field Description protected doublem_Multiplierthe multiplier for the standard deviation.-
Fields inherited from class adams.core.option.AbstractOptionHandler
m_OptionManager
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Fields inherited from class adams.core.logging.LoggingObject
m_Logger, m_LoggingIsEnabled, m_LoggingLevel
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Constructor Summary
Constructors Constructor Description RemoveWorstStdDev()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description voiddefineOptions()Adds options to the internal list of options.protected List<weka.classifiers.Evaluation>doPostProcess(weka.classifiers.Evaluation eval)Post-processes the evaluation.doublegetMultiplier()Returns the multiplier for the stdev..StringgetQuickInfo()Returns a quick info about the object, which can be displayed in the GUI.StringglobalInfo()Returns a string describing the object.StringmultiplierTipText()Returns the tip text for this property.voidsetMultiplier(double value)Sets the multiplier for the stdev.-
Methods inherited from class adams.flow.transformer.wekaevaluationpostprocessor.AbstractNumericClassPostProcessor
check
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Methods inherited from class adams.flow.transformer.wekaevaluationpostprocessor.AbstractWekaEvaluationPostProcessor
check, doPostProcess, newContainer, newEvaluation, postProcess, postProcess
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Methods inherited from class adams.core.option.AbstractOptionHandler
cleanUpOptions, destroy, finishInit, getDefaultLoggingLevel, getOptionManager, initialize, loggingLevelTipText, newOptionManager, reset, setLoggingLevel, toCommandLine, toString
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Methods inherited from class adams.core.logging.LoggingObject
configureLogger, getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled, sizeOf
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Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
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Methods inherited from interface adams.core.logging.LoggingLevelHandler
getLoggingLevel
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Method Detail
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globalInfo
public String globalInfo()
Returns a string describing the object.- Specified by:
globalInfoin interfaceGlobalInfoSupporter- Specified by:
globalInfoin classAbstractOptionHandler- Returns:
- a description suitable for displaying in the gui
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defineOptions
public void defineOptions()
Adds options to the internal list of options.- Specified by:
defineOptionsin interfaceOptionHandler- Overrides:
defineOptionsin classAbstractOptionHandler
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setMultiplier
public void setMultiplier(double value)
Sets the multiplier for the stdev.- Parameters:
value- the multiplier
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getMultiplier
public double getMultiplier()
Returns the multiplier for the stdev..- Returns:
- the multiplier
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multiplierTipText
public String multiplierTipText()
Returns the tip text for this property.- Returns:
- tip text for this property suitable for displaying in the GUI or for listing the options.
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getQuickInfo
public String getQuickInfo()
Returns a quick info about the object, which can be displayed in the GUI.- Specified by:
getQuickInfoin interfaceQuickInfoSupporter- Overrides:
getQuickInfoin classAbstractWekaEvaluationPostProcessor- Returns:
- null if no info available, otherwise short string
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doPostProcess
protected List<weka.classifiers.Evaluation> doPostProcess(weka.classifiers.Evaluation eval)
Post-processes the evaluation.- Specified by:
doPostProcessin classAbstractWekaEvaluationPostProcessor- Parameters:
eval- the Evaluation to post-process- Returns:
- the generated evaluations
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