usemodels

The usemodels package generates tidymodels code snippets for fitting machine learning models. Given a formula and dataset, it automatically creates complete workflow code including recipe steps, model specifications, and tuning grids appropriate for your data and chosen model.

The package handles data-specific preprocessing automatically, adding recipe steps based on your data types and model requirements. It includes templates for 16 different models including glmnet, xgboost, ranger, and others. The generated code serves as a starting point that follows tidymodels best practices, saving time on boilerplate setup and ensuring proper data preprocessing for each model type.