Tidymodels
Julia Silge
There were 21 releases of tidymodels packages during Q1 of this year, and this post shares some highlights! Read more ...
2022/04/01
Max Kuhn
A new release of the usemodels package makes it even easier to use tidymodels. Read more ...
2022/03/23
Max Kuhn
Recipes has added a few new steps along with many improvements. Read more ...
2022/02/22
Julia Silge
New features like an R Markdown template and Shiny app offer more robust support for modeling analyses, and our survey results outline some priorities for next year. Read more ...
2021/12/16
Hannah Frick
We are working on extending support for survival analysis in tidymodels. We are looking for early adopters to try out the new package called censored and give feedback. Read more ...
2021/11/02
Max Kuhn
We are conducting our second tidymodels priorities survey. Please give us your feedback! Read more ...
2021/10/06
Julia Silge
Use new tuning parameters, new recipe steps, and a new example dataset! Read more ...
2021/09/28
Simon Couch
The first major release of infer, a package implementing a unified approach to statistical inference, is now on CRAN. Read more ...
2021/08/17
Julia Silge
Releases of tidymodels packages in Q2 of 2021 include more streamlined memory footprints for feature-engineering recipes, new model engine options, and better support for post-processing predictions. Read more ...
2021/07/02
Julia Silge
The tidymodels ecosystem is modular and flexible, which can sometimes make choosing an approach overwhelming for newcomers. This post offers opinionated guidance on where to start! Read more ...
2021/05/24