Tidy methods for measuring model performance

Integration and other testing for tidymodels

Turn Tidymodels Workflows Into Series of Equations

Run predictions inside the database

An R package for tidyverse-friendly statistical inference

Local Interpretable Model-Agnostic Explanations (R port of original Python package)

Pipeable steps for feature engineering and data preprocessing to prepare for modeling

Reduce the size of model objects saved to disk

Tools for tidy parameter tuning

Classes and functions to create and summarize resampling objects