nnmnkwii.preprocessing.inv_minmax_scale¶
-
nnmnkwii.preprocessing.
inv_minmax_scale
(x, data_min=None, data_max=None, feature_range=(0, 1), scale_=None, min_=None)[source]¶ Inverse transform of min/max scaling for given a single data.
Given data min, max and feature range, apply min/max denormalization to data.
Note
If
scale_
andmin_
are given,feature_range
will be ignored.Parameters: - x (array) – Input data
- data_min (array) – Data min for each feature dimention.
- data_max (array) – Data max for each feature dimention.
- feature_range (array like) – Feature range.
- scale_ ([optional]array) – Scaling factor.
- min_ ([optional]array) – Minimum value for scaling.
Returns: Scaled data.
Return type: array
Raises: ValueError
– If (data_min
,data_max
) or (scale_
andmin_
) are not specified.