There are new K-means engines in tidyclust, and 11 package releases to CRAN too! We have made changes to all rsample functions such that whenever possible they alert the user when something is wrong. This could be a big source of confusion as it is easy to slip between the cracks. Before version 1.2.0 of rsample, misspelled and wrongly used arguments would be swallowed silently by the functions. If you’ve been looking to get started with tidymodels or learn more about the next steps on your tidymodels journey, these are great resources. From #PositConf2023, materials from “Introduction to tidymodels” and “Advanced tidymodels” are newly available! The tidymodels framework is a collection of R packages for modeling and machine learning using tidyverse principles.Īnd it’s tidymodels quarterly roundup time, check out what’s new with tidymodels. Read more in our blog post: įive takeaways from posit::conf(2023) - Posit There were so many other amazing updates and announcements that we can’t wait to share. □ Content-level containerization with Posit Connect: Beginning with 2023.05.0, Posit Connect supports off-host content execution for R and Python content in Kubernetes. ☁ Using R with Databricks Connect: New improvements in the sparklyr package and other related tools make it much easier for R users to use Spark Connect and Databricks Connect □ Shiny for R without a server: ShinyLive, a deployment mode of Shiny that lets you run interactive applications in your browser, is available in R! Check out what's new in the v1.4 release. ✍ Quarto v1.4: Since its release a year ago, Quarto has had many exciting updates. □ GitHub Copilot integration with RStudio v2023.09: Starting with v2023.09, RStudio supports integration with GitHub Copilot. We had a blast at posit::conf(2023!) Check out some of the exciting news and updates from the event:
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