The goal of tune is to facilitate hyperparameter tuning for the tidymodels packages. It relies heavily on recipes, parsnip, and dials.
Install from CRAN:
install.packages("tune", repos = "http://cran.r-project.org") #or your local mirror
or you can install the current development version using:
# install.packages("pak") pak::pak("tidymodels/tune")
There are several package vignettes, as well as articles available at tidymodels.org, demonstrating how to use tune.
Good places to begin include:
More advanced resources available are:
This project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
For questions and discussions about tidymodels packages, modeling, and machine learning, please post on Posit Community.
If you think you have encountered a bug, please submit an issue.
Either way, learn how to create and share a reprex (a minimal, reproducible example), to clearly communicate about your code.
Check out further details on contributing guidelines for tidymodels packages and how to get help.