Python Feature Engineering Cookbook

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We can cap many variables at a time, utilizing the open source package, Feature-engine. To do this, we need to load the libraries and the data as we did in step 1 and step 2 of the recipe in the How to do it... section. Next, we need to import Feature-engine:

1. Import Winsorizer from Feature-engine:

from feature_engine.outlier_removers import Winsorizer

2. Set up a Feature-engine Winsorizer indicating which variables we want to winsorize and that we want to use the mean and standard deviation to find the limits:

windsorizer = Winsorizer(distribution='gaussian', tail='both', fold=3, variables=['RM', 'LSTAT', 'CRIM'])

With Winsorizer from Feature-engine, we can replace the values by the mean and standard deviation setting the ...