Uses of Class
adams.data.weka.predictions.AbstractErrorScaler
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Packages that use AbstractErrorScaler Package Description adams.data.weka.predictions adams.flow.sink -
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Uses of AbstractErrorScaler in adams.data.weka.predictions
Subclasses of AbstractErrorScaler in adams.data.weka.predictions Modifier and Type Class Description class
AutoScaler
Applies the specified numeric scaler to the data in case of a numeric class attribute, otherwise just passes on the data.class
FixedSizeErrorScaler
Scales the errors to a fixed size.class
NumericErrorScalerWithReference
Scales the errors for numeric class attributes, using an user-specified error as reference point for a specified size.class
RelativeNumericErrorScaler
Scales the errors for numeric class attributes.class
RoundErrorScaler
Performs no scaling at all, just rounds the error to the next integer.Fields in adams.data.weka.predictions declared as AbstractErrorScaler Modifier and Type Field Description protected AbstractErrorScaler
AutoScaler. m_Scaler
the scaler to use for numeric classes.Methods in adams.data.weka.predictions that return AbstractErrorScaler Modifier and Type Method Description static AbstractErrorScaler
AbstractErrorScaler. forCommandLine(String cmdline)
Instantiates the scaler from the given commandline (i.e., classname and optional options).static AbstractErrorScaler
AbstractErrorScaler. forName(String classname, String[] options)
Instantiates the scaler with the given options.AbstractErrorScaler
AutoScaler. getScaler()
Returns the scaler for numeric data.AbstractErrorScaler
AbstractErrorScaler. shallowCopy()
Returns a shallow copy of itself, i.e., based on the commandline options.AbstractErrorScaler
AbstractErrorScaler. shallowCopy(boolean expand)
Returns a shallow copy of itself, i.e., based on the commandline options.Methods in adams.data.weka.predictions with parameters of type AbstractErrorScaler Modifier and Type Method Description void
AutoScaler. setScaler(AbstractErrorScaler value)
Sets the scaler to use for numeric data. -
Uses of AbstractErrorScaler in adams.flow.sink
Fields in adams.flow.sink declared as AbstractErrorScaler Modifier and Type Field Description protected AbstractErrorScaler
WekaClassifierErrors.DataGenerator. m_ErrorScaler
the scaler scheme to use.protected AbstractErrorScaler
WekaClassifierErrors. m_ErrorScaler
The scheme for scaling the errors.Methods in adams.flow.sink that return AbstractErrorScaler Modifier and Type Method Description AbstractErrorScaler
WekaClassifierErrors.DataGenerator. getErrorScaler()
Returns the scaling scheme.AbstractErrorScaler
WekaClassifierErrors. getErrorScaler()
Returns the scheme to use for scaling the errors.Methods in adams.flow.sink with parameters of type AbstractErrorScaler Modifier and Type Method Description void
WekaClassifierErrors. setErrorScaler(AbstractErrorScaler value)
Sets the scheme for scaling the errors.Constructors in adams.flow.sink with parameters of type AbstractErrorScaler Constructor Description DataGenerator(weka.classifiers.Evaluation eval, AbstractErrorScaler scaler)
Initializes the generator.
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