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

Packages that use AbstractErrorScaler

Package	Description
adams.data.weka.predictions
adams.flow.sink

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.