There’s already a lot of cool features that the tidymodels ecosystem offers, which make data science and predictive modelling easy and effective, but at times I lacked this one: automated, supervised discretization preprocessing of numeric variables. In this blogpost I’d like to present to you a new step that I implemented with Max Kuhn in the embed package, which recently became officially available on CRAN!
