

tune
Tools for tidy parameter tuning
The tune package provides tools for hyperparameter tuning within the tidymodels ecosystem. It works with recipes for preprocessing, parsnip for model specification, and dials for defining parameter grids.
The package supports both grid search and iterative Bayesian optimization approaches to find optimal model parameters. It integrates with tidymodels workflows to evaluate different parameter combinations across resampling strategies like cross-validation. The package handles parallel processing for efficiency and provides acquisition functions for scoring parameter combinations during optimization.
Contributors

Max Kuhn
Principal Software Engineer

Simon Couch

Hannah Frick
Senior Software Engineer

Davis Vaughan
Principal Software Engineer

Julia Silge
Engineering Manager

Emil Hvitfeldt
Senior Software Engineer

Edgar Ruiz
Senior Software Engineer

Lionel Henry
Senior Software Engineer

Jeroen Janssens
Head of Developer Relations

Gábor Csárdi
Senior Software Engineer
