gemseo.mlearning.transformers.power.boxcox module

A Box-Cox power transformation.

Transform a variable \(x\) as:

\[\begin{split}y & = (x^\lambda - 1) / \lambda, \text{for } \lambda \neq 0 \\ & = \log(x), \text{for } \lambda = 0\end{split}\]

Dependence

This transformation algorithm relies on the PowerTransformer class of scikit-learn.

class BoxCox(name='', standardize=True)

Bases: Power

A Box-Cox power transformation.

Parameters:

• name (str) --

  A name for this transformer. If None, use the class name.

  By default it is set to "".

• standardize (bool) --

  Whether to apply zero-mean, unit-variance normalization to the transformed output.

  By default it is set to True.