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Description
Is your feature request related to a problem?
Normalization mean to shift and squeeze the data into the interval [0, 1]. More generally, we can do that for any interval [minimum, maximum].
Desired solution
- Add a class
RangeScalerinsafeds.data.tabular.transformationthat wraps theMinMaxScalerofscikit-learn - Make it a subclass of
InvertibleTableTransformer - Add two parameters to the
__init__method to set the minimum (float, default 0.0) and maximum (float, default 1.0). - Raise a value error if minimum >= maximum.
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✔️ Done