January 2020
Beginner to intermediate
372 pages
10h
English
Content preview from Python Feature Engineering Cookbook
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Performing Yeo-Johnson transformation on numerical variables
The Yeo-Johnson transformation is an extension of the Box-Cox transformation and can be used on variables with zero and negative values, as well as positive values. These transformations can be defined as follows:
; if λ is not 0 and X >= zero- ln(X + 1 ); if λ is zero and X >= zero
; if λ is not 2 and X is negative- -ln(-X + 1); if λ is 2 and X is negative
In this recipe, we will perform the Yeo-Johnson transformation using SciPy, scikit-learn, and Feature-engine.
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