CatBoost + Conformal: production-grade uncertainty for tabular ML

This is the post where two threads of my work meet. Applied Conformal Prediction is the book about constructing calibrated prediction sets around any model. Mastering CatBoost, chapter 5, is the chapter about doing that natively inside the strongest tabular ML library.