Neural networks that know what they don't know? 🤔
New post with Joshua Marie: fit Bayesian Neural Networks in R with {kindling} + {tidymodels} and get uncertainty estimates out of a familiar workflow.
👉 statsandr.com/blog/bayesian-neural-networks-in-tidymodels-with-kindling/
#rstats #tidymodels
Our latest blog post shows we can deploy boosted tree models, such as xgboost, lightgbm, or catboost, directly into the database itself!
Running predictionsfrom an xgboost model on 2.1 million observations in less than 10 seconds!
posit.co/blog/deployi...
#rstats #tidymodels #mlops
I'm over the moon excited to the release of 0.5.0 of orbital 🛰️
This release adds full support for boosted tree, faster creation of orbital objects, optimization of execution!
We can finally reliably predict with a xgboost model from a database!
tidyverse.org/blog/2026/03...
#rstats #tidymodels
Screenshot of both sides of the printable version of the cheatsheet
Screenshot of the web version of the recipes cheatsheet
#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
🚀 New collaborative post on Stats and R!
Together with Joshua Marie, we show how to do more with neural networks in R using {kindling} (built on {torch}), with a clean workflow for training & tuning models.
👉 statsandr.com/blog/you-can...
#rstats #deeplearning #tidymodels #torchr
6 mo in, starting to get the appeal of #python methods over #rstats 's (+chain methods w/ the pipe).
However... Anything to do w/ data frame is still awful.
Like why do sklearn's preprocessing / pipeline modules (released 2010) feel less cohesive than #tidymodels 's recipes (released in 2017)?
Excited to share that orbital 0.4.0 is now on CRAN with post processing support for tailor and a new show_query() method
#rstats #tidymodels
tidyverse.org/blog/2026/01...
We are excited to see that xgboost recently had a big CRAN release! We have worked hard on the tidymodels team to make sure you all have a smooth transition.
Please yet us know if you are experiencing any issues with the releases
tidyverse.org/blog/2025/12...
#rstats #tidymodels
I'm excited to announce the newest release of {tidypredict}!
This release brings for standardization to outputs, faster trees for parsing and prediction, and glmnet support
tidyverse.org/blog/2025/12...
#rstats #tidymodels
I recently gave a talk on hyperparameter tuning in #tidymodels at Posit Day for University of Wisconsin. Nothing new in the slides but wanted to share regardless
emilhvitfeldt.com/talk/2025-11...
Tutorial online en castellano. Introduccion a Tidymodels. Francisco Cardozo y Edgard Ruiz. Lunes 1 de Diciembre a las 18:00 UTC-3.
🤖 Introducción a #Tidymodels
Aprendé a usar tidymodels para crear y evaluar modelos de #MachineLearning en #RStats
Con Francisco Cardozo y Edgar Ruiz
📅 1 Dic, 18:00–20:00 UTC-3 – Online
💵 Estudiantes USD 5 · Académicos USD 10 · Industria USD 15
🔗 www.eventbrite.com.ar/e/1962543491...
#LatinR2025
How to fit a model without estimating any parameters?
Use a formula with
y ~ 0 + offset(...)
This works with any formula interface, and with #tidymodels this can be passed to add_model().
#rstats
Today's challenge: build a model with fixed parameters (that do not need to be estimated) that can still be used with #tidymodels functionality.
I found a solution (that didn't require setting up a new type of model) - will post some code later - but I wonder how @topepo.bsky.social would do this?
@jeremy-data.bsky.social biology based on #bioconductor (and I’m a BioJava contributor) - also model building in health informatics (I’d use #tidymodels and #vetiver now) vs Python
I'll be going live in 2.5 hours for Socal RUG, talking about how to use orbital to do model predictions in the cloud.
This is a joint in-person and online event
www.meetup.com/socal-rug/ev...
#rstats #tidymodels #databs
Me: explains about data leakage, shows how to use #tidymodels {recipes} functions to avoid it.
Student: writes* horrendous code, with insane loops, data leakage all over the place.
Why? Just why?
*The resulting SO-looking code was most likely produced with an LLM.
Excited to watch the webinar on "Modular, interoperable, and extensible topological data analysis in R" next week by Jason Cory Brunson and Aymeric Stamm
r-consortium.org/webinars/mod...
#tidymodels
On this, the tidiest of Tuesdays, all I wanted was to do something stats or ML related. I've been missing data work. So, with my 30 mins, I built a random forest model with #tidymodels just to do it. Yes, it was therapeutic. Yes, I did use 42 as my random seed. It felt like coming home. #TidyTuesday
Don't miss out learning from the best, Max Kuhn! @topepo.bsky.social
#dataBS #Tidymodels #MachineLearning
📊 Want to level up your R modeling skills? Max Kuhn’s Machine Learning in R workshop is an intro to tidymodels, covering data prep, resampling, tuning & evaluation using real workflows!
📍Aug 25 in NYC or online
🎟️ & info: dataconf.ai/nyc
#RStats #Tidymodels #MachineLearning @topepo.bsky.social
Okay.... data manipulation. Sorry. Not even close.
This is true both for #pandas vs #dplyr, but also for sklearn.preprocessing vs #tidymodels {recipes}!
4 lines of R code can easily become 20 lines in python...
A graphic illustrating data science and big data technologies. On the left, stacked vertically, are the logos for R and Python. In the center, also stacked vertically, are the Orbital logo (featuring a satellite) and the Scala logo (a blue serpent). On the right, stacked vertically, are the Databricks logo and a generic database cylinder icon. The background is a light blue with a subtle, dark blue dot pattern at the bottom.
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...
A nerdy-looking man points a stick at projector screen showing a slide describing species distribution modelling.
A mostly drunk pint of delicious weisbeer.
Inside the replica lichenstein cave. A burial site for around 65 bronze age individuals in central Germany, who were all found to be part of the same extended family. Many gold and bronze objects were also recovered along with charred plant remains from around ~?60 different species.
Feeling lucky to be in a job (for now) that I love so much. Just arrived back from a 5 day workshop in Goettinghan, Germany. We invited palaeoecologists, palynologists, historians, ethnographers and archaeologists working on the Atlantic Forest of #brazil. We […]
[Original post on sciences.social]
Anyway... this year I chose to switch from #caret to #tidymodels, and overall it was really great.
(Nearly) complete code, with examples from #ISLR, can be found here:
github.com/mattansb/Mac...
#rstats #stats
Better Than Logistic Regression? Multinomial Regression 💪 The SECRET Alternative (+ R Code!)
youtu.be/c_vsWlx0g38
#rstats #statistics #dataanalysis #stats #datascience #r4ds #tidymodels
