📣 New #tidymodels cheatsheet alert! "Model Performance with {yardstick}" is now available in PDF and Web here: opensource.posit.co/resources/ch... #posit #rstats #ml
📰 Announcing #tidymodels brand new third cheatsheet! This one is about all the packages that make up #tidymodels, and where in the machine learning workflow they go. HTML and PDF versions found here: opensource.posit.co/resources/ch... #rstats #machinelearning
We had the pleasure of hosting Edgar Riuz @theotheredgar.bsky.social, who shared incredible insights on how to use the #mall package in #R. 📺 Replay: youtu.be/jh2U5U-mJ_w A special thanks for R-Ladies #Abuja to the collaboration! #RStats #RStatsFr #LLM #NLP #RLadies
📰 New post alert! Our second #tidymodels cheatsheet is out now! It covers creating models with {parsnip}. We have written a post with an overview of both our current cheatsheets: opensource.posit.co/blog/2026-04... #rstats #DataScience
tidymodels Cheatsheets
Two new cheatsheets for Tidymodels are now available: one for creating models with parsnip, and one for preprocessing data with recipes.
opensource.posit.co
#tidymodels now has its very first cheatsheet! "Preprocessing data with {recipes}" is now available in Web and PDF versions here: rstudio.github.io/cheatsheets/... #rstats #posit #rstudio
Have you checked out the {mall} package? mlverse.github.io/mall/ I think it may do what you are looking for! @theotheredgar.bsky.social will be featuring {mall} at a Data Science Lab on Jan 27 if you'd like to see it in action! pos.it/dslab
Data Science Lab
pos.it
New 📦 release alert! {mall} 0.2.0 is out now for #rstats and #pydata. Now you can use external #llm like OpenAI & Gemini, and a brand new cheatsheet! New blog post here: blogs.rstudio.com/ai/posts/202...
Posit AI Blog: mall 0.2.0
The mall 0.2.0 update for R and Python introduces support for external LLM providers like OpenAI and Gemini. This version also features parallel processing for R users, the ability to run NLP on str...
blogs.rstudio.com
Announcing streamlined MLOps with Orbital on Databricks 🛰️🧱 Orbital translates #ScikitLearn #Python or #tidymodels #RStats to native #SQL for direct database model execution. @theotheredgar.bsky.social's post uses Databricks as an integrated environment. Learn more: posit.co/blog/databri...
the pins 📌 package gets a lot of love in the chat at community events - and we're excited to share a workflow today! this one was asked about specifically at a Data Science Hangout! ....we're talking about pins + Databricks with @theotheredgar.bsky.social at 11am ET! youtu.be/ab4CIlafsbo?...
APRIL 30th: Easier data and asset sharing across projects and teams with {pins} and Databricks
YouTube video by Posit PBC
youtu.be
Shoutout to @ivelasq3.bsky.social and @posit.co for the opportunity to write a blog post about how I'm using `library(mall)` and integrating large language models into our energy security research! #textdata #LLM #energy #energysecurity #socialscience #datascience #NLProc
Discover how the mall package simplifies LLM integration in R! In @camlivio.bsky.social's guest post, she walks through how she uses mall to summarize dense PDF reports, extract key entities, and visualize the frequency of relevant terms, all with #RStats. Read it here: posit.co/blog/mall-ai...
Discover how the mall package simplifies LLM integration in R! In @camlivio.bsky.social's guest post, she walks through how she uses mall to summarize dense PDF reports, extract key entities, and visualize the frequency of relevant terms, all with #RStats. Read it here: posit.co/blog/mall-ai...
We're excited to announce a new release of odbc! This release includes a new hex logo (thanks, @theotheredgar.bsky.social!), viewer-based credentials on Posit Connect for `databricks()` and `snowflake()`, and more. Read more in the release notes: odbc.r-dbi.org/news/index.h... #RStats
odbc 1.6.0 is now on #rstats CRAN! Includes a new helper for Redshift, a hex sticker (finally!), and many QOL improvements for Databricks, Snowflake, MSSQL, etc. Read more: odbc.r-dbi.org/news/index.h...
The 2nd wave of uv is here — developers of other systems building on top of uv to make new and effortless workflows that use Python virtual environments behind the scenes 🤩
We are delighted to announce Reticulate 1.41! You can now simply declare your dependencies using `py_require()`, and Reticulate will handle the rest. This seamless experience is powered by uv, an extremely fast #Python package manager written in Rust. Learn more: posit.co/blog/reticul... #RStats
(1/3) Every week, I review an open-source project in my newsletter. This week, the focus is on the lang project. The lang library enables the translation of any function's documentation to a different language by using LLM on the fly. github.com/mlverse/lang #RStats #LLM #AI
GitHub - mlverse/lang: Uses LLMs to translate R help docs on the fly
Uses LLMs to translate R help docs on the fly. Contribute to mlverse/lang development by creating an account on GitHub.
github.com
Introducing the {lang} package by @theotheredgar.bsky.social for translating R help using your local LLM! Lea la ayuda en #RStats en su propio idioma! lang helps you translate your documentation and include it as part of your package. Check it out here! github.com/mlverse/lang
Pin your data and model objects to Databricks Volumes in #RStats! With pins, you can store an object on a board, like Dropbox, Posit Connect, or Amazon S3. We have merged support for pinning objects to Databricks Volumes with the `board_databricks()` function! Read more: posit.co/blog/pins-in...
Pins in Databricks - Posit
The pins R package now has support for the `board_databricks()` function, which allows you to access and store pins in Databrick’s Volumes from your R script.
posit.co
The recent work that @theotheredgar.bsky.social did in the pins #rstats package to support Databricks Volumes is QUITE NICE for folks who need more flexibility in how they store objects/files there! 📌 Read a bit about it here: posit.co/blog/pins-in...
Pins in Databricks - Posit
The pins R package now has support for the `board_databricks()` function, which allows you to access and store pins in Databrick’s Volumes from your R script.
posit.co
📦 Lea la ayuda en R en su propio idioma! Es un gusto de introducir a {lang}, traduce la ayuda 'en vivo' utilizando Ollama y lo muestra en la misma ventana de 'help' en su entorno de desarrollo github.com/mlverse/lang #rstats #ollama #llm
GitHub - mlverse/lang: Uses LLMs to translate R help docs on the fly
Uses LLMs to translate R help docs on the fly. Contribute to mlverse/lang development by creating an account on GitHub.
github.com
Dev 📦 alert! {lang} translates R help on-the-fly using your local LLM! It also overrides the `?` so you can easily access the translated docs and have them displayed on your IDE's help pane github.com/mlverse/lang #rstats #llm #ollama
GitHub - mlverse/lang: Uses LLMs to translate R help docs on the fly
Uses LLMs to translate R help docs on the fly. Contribute to mlverse/lang development by creating an account on GitHub.
github.com
Introducing the mall package for running multiple LLM predictions against a data frame in #RStats or #Python! mall is inspired by the SQL AI functions offered by vendors such as Databricks and Snowflake. Learn more in this blog post by @theotheredgar.bsky.social: blogs.rstudio.com/ai/posts/202...
Posit AI Blog: Introducing mall for R...and Python
We are proud to introduce the {mall}. With {mall}, you can use a local LLM to run NLP operations across a data frame. (sentiment, summarization, translation, etc). {mall} has been simultaneusly rele...
blogs.rstudio.com
New 📦 alert! {mall} is out now for both #rstats...and #python! The package uses #llm 's to run NLP operations recursively over a data frame (sentiment, summarization, translation, etc). For Python it's a #polars extension. Both use #ollama to interact with the LLM. mlverse.github.io/mall/
Are you a Spark user who prefers writing in R? User-defined functions with sparklyr might be what you need ✨ With `spark_apply()`, you can write functions in #RStats and use them in #Spark queries. Learn more in the blog post: posit.co/blog/databri...
Parallelize R code using user-defined functions (UDFs) in sparklyr - Posit
The sparklyr package enables writing user-defined functions (UDFs) in R, which allow you to leverage Spark for efficient big data processing.
posit.co
A new version of the #rstats probably package is on CRAN. A minor update with a bug fix and under-the-hood changes for the upcoming tune version. But there’s finally a hex logo (thanks to Edgar Ruiz) so we have that going for us. Which is nice. probably.tidymodels.org