#tidymodels — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #tidymodels, aggregated by home.social.
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Is the tidymodels package `infer` mostly abandoned at this point? At one point I thought it would accumulate a larger corpus of tests, or develop an API for other pkgs to extend it, but it has seemed pretty frozen. Also, I was reminded by some recent GH issues that it's bootstrapping implementation is flawed in some annoying ways that make it seem more like a purely pedagogical tool than a real analysis too. #rstats #tidymodels #tidyverse
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New post with @joshuamarie: Bayesian Neural Networks in {tidymodels} with {kindling} 🔥
BNNs learn weight distributions instead of fixed values — giving uncertainty estimates alongside predictions, all within a standard {tidymodels} workflow.
👉 https://statsandr.com/blog/bayesian-neural-networks-in-tidymodels-with-kindling/
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🚀 New blog post live!
Together with @joshuamarie, we explore how to do more with neural networks in R using {kindling}, a higher-level interface to {torch} that makes building, training & tuning deep learning models smoother (and tidymodels-friendly)
👉 https://statsandr.com/blog/you-can-do-more-for-neural-networks-in-r-with-kindling/
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They did it. By golly gosh, they finally did it.
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rOpenSci will be participating in @latinr_conf!
Here is the key data for your participation:
🎙️ Keynotes
- Heather Turner: Lowering Barriers to Contributing to R.
- Stephanie Zimmer: Transforming a team to open-source first.
- TRACE-LAC Team. Lo invisible del código abierto: Lecciones desde el proyecto TRACE-LAC / Epiverso para conectar el desarrollo de software con la salud pública
🎓 Tutorials by rOpenSci members:
📌 ¡Miércoles, Git! Manejo de errores en Git y no morir en el intento — @maelle , @yabellini. Registration: https://www.eventbrite.cl/e/miercoles-git-manejo-de-errores-en-git-y-no-morir-en-el-intento-tickets-1937068908249
📌 Introducción a #Tidymodels — Francisco Cardozo & Edgar Ruiz. Registration: https://www.eventbrite.cl/e/introducion-a-tidymodels-tickets-1962543491413
📌 Automatización de workflows en R y Python con #targets y #Snakemake — Diana García. Registration: https://www.eventbrite.cl/e/automatizacion-de-workflows-en-r-y-python-con-targets-y-snakemake-tickets-1936131664929
📌 ¿Qué historia vas a contar hoy Herramientas para una comunicación eficaz — Alejandra Bellini. Registration: https://www.eventbrite.cl/e/que-historia-vas-a-contar-hoy-herramientas-para-una-comunicacion-eficaz-tickets-1891497192019
📌 Coding with #AI in RStudio — Juan Cruz Rodríguez & @LuisDVerde. Registration: https://www.eventbrite.cl/e/coding-with-ai-in-rstudio-tickets-1962817615325
List with all tutorials here: https://latinr.org/en/
#RStats #RStatsES #openScience #RSE #OpenData #FOSS #DataScience #Analytics
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@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
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Using the hai_data_trig() function from my package healthyR.ai Reference: www.spsanderson.com/healthyR.ai/... #R #RStats #datatransformation #DataScience #data #tidy #recipes #tidymodels
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I'm looking for a co-author to re-work my tidyAML package #GitHub github.com/spsanderson/... #RStats #parsnip #tidymodels Anyone interested?
GitHub - spsanderson/tidyAML: ... -
See what you get when you run this #tidymodels #tidyaml #regression #predictions #residuals
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With my #tidyAML #RStats #R package you can quickly generate multiple models against a regression problem. This package needs a lot of work and love but I'll get to it when I have time unless someone else wants to step in. It safely fails when libraries don't exist. #tidymodels #recipes
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I have recently been enjoying using Gemini 2.5 Pro in Google AI Studio instead of Stack Exchange :omya_google: . The large context window (1M tokens) and the ability to set the temperature to 0, meaning NO CREATIVITY, make this LLM a very good tool for RAG when communicating with your own materials. For example, I recently had a small question about the applicability of a ridge regression model that I trained in #RStats using the #tidymodels framework some years ago.
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Feeling lucky to be in a job (for now) that I love so much. Just arrived back from a 5 day workshop in Goettingen, Germany. We invited palaeoecologists, palynologists, historians, ethnographers and archaeologists working on the Atlantic Forest of #brazil. We were also honoured to host a Tupi-guarani village leader, who generously offered his unique perspectives. I delivered a 2 day workshop on #gis #rstats #ecology species distribution modelling using #tidymodels and #tidysdm.
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New blog post: Spatial Machine Learning with tidymodels 🌍🧠📦
This post shows how to apply the tidymodels framework to spatial data workflows in R. Part 3 in a series about #sml.
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If you are looking to use the cubist algo for regression and want to get it into shape then use the healthyR.ai package and the hai_cubist_data_prepper() function. Link: www.spsanderson.com/healthyR.ai/... #regression #tidymodels #data #algorithm #cubist
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I wrote up a little blog post comparing the runtime and memory allocation of how we used to create dummy variables with the new sparse support I added in tidymodels
https://emilhvitfeldt.com/post/sparse-vs-dense-dummies/
#rstats #tidymodels -
Happy to share that {recipes} has a new release with many new features and all known bugs exterminated!
https://www.tidyverse.org/blog/2025/04/recipes-1-3-0/
#rstats #tidymodels -
If you are looking for data processors to get your data in line for the algo in question, then my #R #package { healthyR.ai } has you covered. These are based on using #tidymodels #parsnip from the #tidyverse www.spsanderson.com/healthyR.ai/... #RStats #Data #ModelData
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We heard from the community that CatBoost is the way do go. We listened and learned! here is the first batch of updated hexes for #tidymodels
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One of the exciting parts of the new sparse data tidymodels work, is that {textrecipes} can now be used as a reproducible way to generate DTM, tf-idf etc etc
#rstats #tidymodels -
Combining two of my favorite things.
#RStats
and oysters. My latest blog post is a project to predict New York Harbor water quality using data from Billionoysterproject.org and #tidymodels
https://outsiderdata.netlify.app/posts/2024-12-05-predicting-water-quality-in-new-york-harbor/oyster -
ok how did I not know until now that you can add se.fit = TRUE to the predict() function to get errors?
and of course, I now see there is a std_error option and several others in the #tidymodels version
what do these do for nonparametric models, I wonder?
No matter how much I think I know, there is always so much more to learn... 🤓