| AbstractErrorScaler |
Ancestor for classes that scale predictions.
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| AutoScaler |
Applies the specified numeric scaler to the data in case of a numeric class attribute, otherwise just passes on the data.
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| FixedSizeErrorScaler |
Scales the errors to a fixed size.
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| NumericErrorScalerWithReference |
Scales the errors for numeric class attributes, using an user-specified error as reference point for a specified size.
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| RelativeNumericErrorScaler |
Scales the errors for numeric class attributes.
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| RoundErrorScaler |
Performs no scaling at all, just rounds the error to the next integer.
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