Package adams.data.weka.predictions

Class Summary
AbstractErrorScaler Ancestor for classes that scale predictions.
AutoScaler Applies the specified numeric scaler to the data in case of a numeric class attribute, otherwise just passes on the data.
FixedSizeErrorScaler Scales the errors to a fixed size.
NamedSetup Applies a scaler that is referenced via its global setup name (see 'NamedSetups').
RelativeNumericErrorScaler Scales the errors for numeric class attributes.
RoundErrorScaler Performs no scaling at all, just rounds the error to the next integer.
 



Copyright © 2012 University of Waikato, Hamilton, NZ. All Rights Reserved.