he/him - writing statistical software @posit_pbc (née RStudio)🥑 on the other sites @ simonpcouch
Chicago, IL, U.S.A.
Joined September 2019
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Simon Couch retweeted
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
ALT frankiethull/kantime Bindings for Nixtla's neuralforecast Library in R, specifically KANs, to use with {modeltime} package. Nixtla's KAN is called from R via {reticulate}, which is then ported into {parsnip} and bridged to {modeltime}.
Simon Couch retweeted
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/vetiv…
Simon Couch retweeted
📢 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/97802620491…
Simon Couch retweeted
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 🙌🏻
Simon Couch retweeted
Announcing Shiny Assistant, an AI-powered tool that can help you build Shiny applications!
shiny.posit.co/blog/posts/sh…
Simon Couch retweeted
{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 🌽🌽🌽
The dopest parts about {maize}? It jives well with the tidymodels ecosystem!
Here, I'm answering a typical question keeping everyone up at night, "what does conformal inference quantile regression prediction intervals look like for a laplacian kernel support vector machine" 🤓
ALT Code snippet of setting up a laplace kernel svm spec, svm wkflow fitting, conformal quantile fit, and create conformal predictions
Simon Couch retweeted
Today marks the 10 year anniversary of my first lintr commit (github.com/r-lib/lintr/commi…)
Hard to believe it was 10 years ago
Apparently originally I called it styleR, long before the current styler package came into being 😄
Simon Couch retweeted
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.h…
Simon Couch retweeted
Let me take this opportunity to shill the infer #RStats package
infer.tidymodels.org/article…
read the vignette which explains why charts like the one below can be ignored nowadays (we have very good computers these days)
Simon Couch retweeted
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
R fans of conformal prediction, there are some repos translating code for my book into R (courtesy of @frankiethull)
I am also going to post a few libraries in R in comments.
#confoRmalprediction
Simon Couch retweeted
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!
Simon Couch retweeted
Corny example using various SVM kernels from {maize}. Predicting types of corn given a corn kernel size and corn height 🌽🌽
ALT {patchwork} of 5 different kernels visualizations. Trained model prediction areas and test data points. Corn data is synthetic via Claude Sonnet
Simon Couch retweeted
🌽 new package 🌽
{maize} is a specialty kernel binding for {parsnip}. This extension implements five additional kernels for support vector machines 🌽
If you are already familiar with the tidymodels framework, check out this experiment on my github 🌽
#rstats
Simon Couch retweeted
Today is the day! Data Management in Large-Scale Education Research is available for pre-order! 🥳
Also available on Amazon and Barnes and Noble!
routledge.com/Data-Managemen…
Simon Couch retweeted
Next week is our #Conference, and we couldn't be more excited! 🎉 Get ready for two days filled with #workshops (06/21), #presentations, and Lightning Talks (06/22) on #R, #DataScience, #AI, #ML, and #Shiny. 🚀
More info: cascadiarconf.com
Tickets: eventbrite.com/e/cascadia-r-…
Simon Couch retweeted
Check out the marginaleffects.com website re-design. 30 free chapters of tutorials and case studies on how to interpret your statistical models in R and Python. Now with cute illustrations!
ALT Animals with the words "The marginal effects zoo"
Simon Couch retweeted
I am super excited to announce the first release of marquee - supercharged markdown support for #ggplot2 (and #rstats graphics in general)
Read all about it here: tidyverse.org/blog/2024/05/m…
and browse the package site at: marquee.r-lib.org
