Simon Couch

Some news: I've just open-sourced the draft of a book I'm working on about how #rstats tidymodels users can make their code run faster without sacrificing predictive performance! simonpcouch.com/blog/2024-10-2…

Monitoring Models in Production is essential to ensure accuracy, detect drift, and maintain fairness over time. For more, check out our recent blog by Myles Mitchell on "Vetiver: Monitoring Models in Production". #DataScience #MLOps #Rstats jumpingrivers.com/blog/vetiver-m…

The #rstats tidymodels team is hard at work implementing postprocessing! There will be changes in almost all of our core packages as well as an entirely new package included in this set of releases. We value your opinion—let us know what you think: tidyverse.org/blog/2024/10/p…

{maize} works with {stacks} too! 🌽🥞 {stacks} is part of the tidymodels ecosystem for combining many models into a new ensemble model Here's an ensemble example of three SVMs with different types of kernels 🌽🌽🌽

Released a cauldron of R code today 🎃👻 Introducing Kolmogorov-Arnold Networks for Time Series in R! It's an R package called {kantime}, a super experimental port of Nixtla's {neuralforecast} from Python to {modeltime} in R

This is tomorrow! #rstats folks, come through!

i like R

I'll be giving a free virtual talk on speeding up your #rstats tidymodels code at R/Pharma 2024 this Tuesday and would love to see you there! I'll also be announcing a new project.👀 Register here: rinpharma.com

📢 Tomorrow is the official release of @bbiinnyyuu and my book, Veridical Data Science, with @mitpress. I'm so excited to for physical copies to be out in the world! Get your copy from mitpress.mit.edu/9780262049191/…

Updated the documentation for {maize} 🌽 String kernels are the newest addition which were a bit tricky to plant 👨🏻‍🌾 And I'm liking how this table turned out, thanks to @gt_package & gtUtils 🙌🏻

Announcing Shiny Assistant, an AI-powered tool that can help you build Shiny applications! shiny.posit.co/blog/posts/shi…

Postprocessing is coming to tidymodels! We've got a set of changes for updating model predictions coming to the next version of our #rstats packages. Let us know what you think: tidyverse.org/blog/2024/10/p…

Today marks the 10 year anniversary of my first lintr commit (github.com/r-lib/lintr/co…) Hard to believe it was 10 years ago Apparently originally I called it styleR, long before the current styler package came into being 😄

A new release of #rstats broom made it to CRAN yesterday! v1.0.7 includes changes to tidiers for objects from survival, boot, car, and (base) stats. Read more: broom.tidymodels.org/news/index.htm…

cpp11 0.5.0 is on CRAN 🥳 The main thing to note is that we've removed all non-API R calls, so if you use cpp11 you should no longer get any NOTEs when submitting to CRAN! #rstats cpp11.r-lib.org/news/index.html

Let me take this opportunity to shill the infer #RStats package infer.tidymodels.org/articles/infer… read the vignette which explains why charts like the one below can be ignored nowadays (we have very good computers these days)

This R repo wouldn't be possible without {modeltime} and {tidymodels} 🙌🏻 It shows how easy conformal prediction is in R A nice read if you already have @predict_addict's book and Tidy Modeling with R by @topepos & @juliasilge

arXiv -> alphaXiv Students at Stanford have built alphaXiv, an open discussion forum for arXiv papers. @askalphaxiv You can post questions and comments directly on top of any arXiv paper by changing arXiv to alphaXiv in any URL!