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Some vtreat design principles

We have already written quite a few times about our vtreat open source variable treatment package for R (which implements effects/impact coding, missing value replacement, and novel value replacement; among other important data preparation steps), but we thought we would take some time to describe some of the principles behind the package design.


vtreat is something we really feel you you should add to your predictive analytics or data science work flow.

vtreat getting a call-out from Dmitry Larko, photo Erin LeDell

vtreat’s design and implementation follows from a number of reasoned assumptions or principles, a few of which we discuss below.

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