Uses of Class
adams.data.weka.predictions.AbstractErrorScaler

Packages that use AbstractErrorScaler

adams.data.weka.predictions
adams.flow.sink

Uses of AbstractErrorScaler in adams.data.weka.predictions

Subclasses of AbstractErrorScaler in adams.data.weka.predictions

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	NamedSetup Applies a scaler that is referenced via its global setup name (see 'NamedSetups').
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

protected AbstractErrorScaler	NamedSetup.m_ActualScheme the actual scheme.
protected AbstractErrorScaler	AutoScaler.m_Scaler the scaler to use for numeric classes.

Methods in adams.data.weka.predictions that return AbstractErrorScaler

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.
protected AbstractErrorScaler	NamedSetup.getActualScheme() Returns the named setup.
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

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

protected AbstractErrorScaler	WekaClassifierErrors.m_ErrorScaler The scheme for scaling the errors.
protected AbstractErrorScaler	WekaClassifierErrors.DataGenerator.m_ErrorScaler the scaler scheme to use.

Methods in adams.flow.sink that return AbstractErrorScaler

AbstractErrorScaler	WekaClassifierErrors.getErrorScaler() Returns the scheme to use for scaling the errors.
AbstractErrorScaler	WekaClassifierErrors.DataGenerator.getErrorScaler() Returns the scaling scheme.

Methods in adams.flow.sink with parameters of type AbstractErrorScaler

void	WekaClassifierErrors.setErrorScaler(AbstractErrorScaler value) Sets the scheme for scaling the errors.

Constructors in adams.flow.sink with parameters of type AbstractErrorScaler

WekaClassifierErrors.DataGenerator(weka.classifiers.Evaluation eval, AbstractErrorScaler scaler)
Initializes the generator.