standard_scaler module¶
Standard data scaler¶
The StandardScaler class implements the Standard scaling method
applying to some parameter \(z\):
\[\bar{z} := \text{offset} + \text{coefficient}\times z
= \frac{z-\text{mean}(z)}{\text{std}(z)}\]
where \(\text{offset}=-\text{mean}(z)/\text{std}(z)\) and \(\text{coefficient}=1/\text{std}(z)\).
In this Standard scaling method, the scaling operation linearly transforms the original variable math:z such that in the scaled space, the original data have zero mean and unit standard deviation.
-
class
gemseo.mlearning.transform.scaler.standard_scaler.StandardScaler(name='StandardScaler', offset=0.0, coefficient=1.0)[source]¶ Bases:
gemseo.mlearning.transform.scaler.scaler.ScalerStandard scaler.
Constructor.
- Parameters
name (str) – name of the scaler. Default: ‘StandardScaler’.
offset (float) – offset of the linear transformation. Default: 0.
coefficient (float) – coefficient of the linear transformation. Default: 1.