The tidymodels framework is a collection of R packages for modeling and machine learning using tidyverse principles. Earlier this year, we started regular updates here on the tidyverse blog summarizing recent developments in the tidymodels ecosystem. You can check out the tidymodels tag to find all tidymodels blog posts here, including those that focus on a single package or more major releases. The purpose of these roundup posts is to keep you informed about any releases you may have missed and useful new functionality as we maintain these packages.
Recently, we had a series of CRAN releases: hardhat, workflows, parsnip, tune, finetune, workflowsets, and discrim. These were coordinated because of some cross-package improvements. This blog post summarizes the changes.
Learn more at the Tidyverse blog,