min_max_scaler module¶
Min-max data scaler¶
The MinMaxScaler class implements the MinMax scaling method applying
to some parameter \(z\):
\[\bar{z} := \text{offset} + \text{coefficient}\times z
= \frac{z-\text{min}(z)}{(\text{max}(z)-\text{min}(z))},\]
where \(\text{offset}=-\text{min}(z)/(\text{max}(z)-\text{min}(z))\) and \(\text{coefficient}=1/(\text{max}(z)-\text{min}(z))\).
In the MinMax scaling method, the scaling operation linearly transforms the original variable \(z\) such that the minimum of the original data corresponds to 0 and the maximum to 1.
-
class
gemseo.mlearning.transform.scaler.min_max_scaler.MinMaxScaler(name='MinMaxScaler', offset=0.0, coefficient=1.0)[source]¶ Bases:
gemseo.mlearning.transform.scaler.scaler.ScalerMin-max scaler.
Constructor.
- Parameters
name (str) – name of the scaler. Default: ‘MinMaxScaler’.
offset (float) – offset of the linear transformation. Default: 0.
coefficient (float) – coefficient of the linear transformation. Default: 1.