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#tidymodels

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Anatoly Tsyplenkov<p>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 <a href="https://fosstodon.org/tags/RStats" class="mention hashtag" rel="tag">#<span>RStats</span></a> using the <a href="https://fosstodon.org/tags/tidymodels" class="mention hashtag" rel="tag">#<span>tidymodels</span></a> framework some years ago.</p>
Posit<p>Check out our Modeling &amp; ML with <a href="https://fosstodon.org/tags/RStats" class="mention hashtag" rel="tag">#<span>RStats</span></a> workshops at posit::conf!</p><p>🔢 Intro to ML w/ tidymodels with <span class="h-card" translate="no"><a href="https://rstats.me/@simonpcouch" class="u-url mention">@<span>simonpcouch</span></a></span> <br />🏗️ Feature Engineering &amp; Tuning with <span class="h-card" translate="no"><a href="https://fosstodon.org/@topepo" class="u-url mention">@<span>topepo</span></a></span> and <span class="h-card" translate="no"><a href="https://fosstodon.org/@emilhvitfeldt" class="u-url mention">@<span>emilhvitfeldt</span></a></span> <br />↔️ Causal Inference with <span class="h-card" translate="no"><a href="https://mstdn.jp/@malcolmbarrett" class="u-url mention">@<span>malcolmbarrett</span></a></span> and <span class="h-card" translate="no"><a href="https://mastodon.social/@lucystats" class="u-url mention">@<span>lucystats</span></a></span> </p><p>Register for workshops + the full posit::conf(2025) experience: <a href="https://posit.co/conference/" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="">posit.co/conference/</span><span class="invisible"></span></a></p><p>📅 Sept 16–18 | Atlanta</p><p><a href="https://fosstodon.org/tags/PositConf2025" class="mention hashtag" rel="tag">#<span>PositConf2025</span></a> <a href="https://fosstodon.org/tags/Tidymodels" class="mention hashtag" rel="tag">#<span>Tidymodels</span></a></p>
Posit<p>Announcing streamlined MLOps with Orbital on Databricks 🛰️🧱</p><p>Orbital translates <a href="https://fosstodon.org/tags/ScikitLearn" class="mention hashtag" rel="tag">#<span>ScikitLearn</span></a> <a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="tag">#<span>Python</span></a> or <a href="https://fosstodon.org/tags/tidymodels" class="mention hashtag" rel="tag">#<span>tidymodels</span></a> <a href="https://fosstodon.org/tags/RStats" class="mention hashtag" rel="tag">#<span>RStats</span></a> to native <a href="https://fosstodon.org/tags/SQL" class="mention hashtag" rel="tag">#<span>SQL</span></a> for direct database model execution.</p><p>Edgar Ruiz&#39;s post uses <a href="https://fosstodon.org/tags/Databricks" class="mention hashtag" rel="tag">#<span>Databricks</span></a> as an integrated environment.</p><p>Learn more: <a href="https://posit.co/blog/databricks-orbital-r-python-model-deployment/" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">posit.co/blog/databricks-orbit</span><span class="invisible">al-r-python-model-deployment/</span></a></p>
B H<p>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 <a href="https://sciences.social/tags/brazil" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>brazil</span></a>. We were also honoured to host a Tupi-guarani village leader, who generously offered his unique perspectives. I delivered a 2 day workshop on <a href="https://sciences.social/tags/gis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>gis</span></a> <a href="https://sciences.social/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rstats</span></a> <a href="https://sciences.social/tags/ecology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ecology</span></a> species distribution modelling using <a href="https://sciences.social/tags/tidymodels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tidymodels</span></a> and <a href="https://sciences.social/tags/tidysdm" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tidysdm</span></a>.</p>
Jakub Nowosad<p>New blog post: Spatial Machine Learning with tidymodels 🌍🧠📦</p><p>This post shows how to apply the tidymodels framework to spatial data workflows in R. Part 3 in a series about <a href="https://fosstodon.org/tags/sml" class="mention hashtag" rel="tag">#<span>sml</span></a>.</p><p>🔗 <a href="https://geocompx.org/post/2025/sml-bp3/" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="">geocompx.org/post/2025/sml-bp3/</span><span class="invisible"></span></a> </p><p><a href="https://fosstodon.org/tags/rstats" class="mention hashtag" rel="tag">#<span>rstats</span></a> <a href="https://fosstodon.org/tags/rspatial" class="mention hashtag" rel="tag">#<span>rspatial</span></a> <a href="https://fosstodon.org/tags/tidymodels" class="mention hashtag" rel="tag">#<span>tidymodels</span></a> <a href="https://fosstodon.org/tags/gischat" class="mention hashtag" rel="tag">#<span>gischat</span></a></p>
Steven P. Sanderson II, MPH<p>If you are looking to use the cubist algo for regression and want to get it into shape then use the <a href="https://healthyR.ai" rel="nofollow noopener" target="_blank">healthyR.ai</a> package and the hai_cubist_data_prepper() function. Link: <a href="https://www.spsanderson.com/healthyR.ai/reference/hai_cubist_data_prepper.html" rel="nofollow noopener" target="_blank">www.spsanderson.com/healthyR.ai/...</a> <a class="hashtag" href="https://bsky.app/search?q=%23regression" rel="nofollow noopener" target="_blank">#regression</a> <a class="hashtag" href="https://bsky.app/search?q=%23tidymodels" rel="nofollow noopener" target="_blank">#tidymodels</a> <a class="hashtag" href="https://bsky.app/search?q=%23data" rel="nofollow noopener" target="_blank">#data</a> <a class="hashtag" href="https://bsky.app/search?q=%23algorithm" rel="nofollow noopener" target="_blank">#algorithm</a> <a class="hashtag" href="https://bsky.app/search?q=%23cubist" rel="nofollow noopener" target="_blank">#cubist</a></p>
Steven Sanderson<p>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.</p><p>Link: <a href="https://www.spsanderson.com/healthyR.ai/reference/hai_cubist_data_prepper.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">spsanderson.com/healthyR.ai/re</span><span class="invisible">ference/hai_cubist_data_prepper.html</span></a></p><p><a href="https://rstats.me/tags/regression" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>regression</span></a> <a href="https://rstats.me/tags/tidymodels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tidymodels</span></a> <a href="https://rstats.me/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>data</span></a> <a href="https://rstats.me/tags/algorithm" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>algorithm</span></a> <a href="https://rstats.me/tags/cubist" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cubist</span></a></p>
Steven P. Sanderson II, MPH<p>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.</p><p>Link: <a href="https://www.spsanderson.com/healthyR.ai/reference/hai_cubist_data_prepper.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">spsanderson.com/healthyR.ai/re</span><span class="invisible">ference/hai_cubist_data_prepper.html</span></a></p><p><a href="https://mstdn.social/tags/regression" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>regression</span></a> <a href="https://mstdn.social/tags/tidymodels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tidymodels</span></a> <a href="https://mstdn.social/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>data</span></a> <a href="https://mstdn.social/tags/algorithm" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>algorithm</span></a> <a href="https://mstdn.social/tags/cubist" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cubist</span></a></p>
Emil Hvitfeldt<p>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</p><p><a href="https://emilhvitfeldt.com/post/sparse-vs-dense-dummies/" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">emilhvitfeldt.com/post/sparse-</span><span class="invisible">vs-dense-dummies/</span></a><br /><a href="https://fosstodon.org/tags/rstats" class="mention hashtag" rel="tag">#<span>rstats</span></a> <a href="https://fosstodon.org/tags/tidymodels" class="mention hashtag" rel="tag">#<span>tidymodels</span></a></p>
Emil Hvitfeldt<p>Happy to share that {recipes} has a new release with many new features and all known bugs exterminated!</p><p><a href="https://www.tidyverse.org/blog/2025/04/recipes-1-3-0/" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://www.</span><span class="ellipsis">tidyverse.org/blog/2025/04/rec</span><span class="invisible">ipes-1-3-0/</span></a><br /><a href="https://fosstodon.org/tags/rstats" class="mention hashtag" rel="tag">#<span>rstats</span></a> <a href="https://fosstodon.org/tags/tidymodels" class="mention hashtag" rel="tag">#<span>tidymodels</span></a></p>
Steven P. Sanderson II, MPH<p>If you are looking for data processors to get your data in line for the algo in question, then my <a class="hashtag" href="https://bsky.app/search?q=%23R" rel="nofollow noopener" target="_blank">#R</a> <a class="hashtag" href="https://bsky.app/search?q=%23package" rel="nofollow noopener" target="_blank">#package</a> { <a href="https://healthyR.ai" rel="nofollow noopener" target="_blank">healthyR.ai</a> } has you covered. These are based on using <a class="hashtag" href="https://bsky.app/search?q=%23tidymodels" rel="nofollow noopener" target="_blank">#tidymodels</a> <a class="hashtag" href="https://bsky.app/search?q=%23parsnip" rel="nofollow noopener" target="_blank">#parsnip</a> from the <a class="hashtag" href="https://bsky.app/search?q=%23tidyverse" rel="nofollow noopener" target="_blank">#tidyverse</a> <a href="https://www.spsanderson.com/healthyR.ai/reference/index.html#data-preprocessors" rel="nofollow noopener" target="_blank">www.spsanderson.com/healthyR.ai/...</a> <a class="hashtag" href="https://bsky.app/search?q=%23RStats" rel="nofollow noopener" target="_blank">#RStats</a> <a class="hashtag" href="https://bsky.app/search?q=%23Data" rel="nofollow noopener" target="_blank">#Data</a> <a class="hashtag" href="https://bsky.app/search?q=%23ModelData" rel="nofollow noopener" target="_blank">#ModelData</a></p>
Steven Sanderson<p>If you are looking for data processors to get your data in line for the algo in question, then my <a href="https://rstats.me/tags/R" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>R</span></a> <a href="https://rstats.me/tags/package" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>package</span></a> { healthyR.ai } has you covered. These are based on using <a href="https://rstats.me/tags/tidymodels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tidymodels</span></a> <a href="https://rstats.me/tags/parsnip" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>parsnip</span></a> from the <a href="https://rstats.me/tags/tidyverse" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tidyverse</span></a> </p><p><a href="https://www.spsanderson.com/healthyR.ai/reference/index.html#data-preprocessors" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">spsanderson.com/healthyR.ai/re</span><span class="invisible">ference/index.html#data-preprocessors</span></a></p><p><a href="https://rstats.me/tags/RStats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RStats</span></a> <a href="https://rstats.me/tags/Data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Data</span></a> <a href="https://rstats.me/tags/ModelData" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ModelData</span></a></p>
Steven P. Sanderson II, MPH<p>If you are looking for data processors to get your data in line for the algo in question, then my <a href="https://mstdn.social/tags/R" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>R</span></a> <a href="https://mstdn.social/tags/package" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>package</span></a> { healthyR.ai } has you covered. These are based on using <a href="https://mstdn.social/tags/tidymodels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tidymodels</span></a> <a href="https://mstdn.social/tags/parsnip" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>parsnip</span></a> from the <a href="https://mstdn.social/tags/tidyverse" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tidyverse</span></a> </p><p><a href="https://www.spsanderson.com/healthyR.ai/reference/index.html#data-preprocessors" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">spsanderson.com/healthyR.ai/re</span><span class="invisible">ference/index.html#data-preprocessors</span></a></p><p><a href="https://mstdn.social/tags/RStats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RStats</span></a> <a href="https://mstdn.social/tags/Data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Data</span></a> <a href="https://mstdn.social/tags/ModelData" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ModelData</span></a></p>
Victor Alexandre<p>Hello <a href="https://mastodon.social/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rstats</span></a> <a href="https://mastodon.social/tags/tidymodels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tidymodels</span></a> <a href="https://mastodon.social/tags/yolo" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>yolo</span></a> <a href="https://mastodon.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machinelearning</span></a> community.</p><p>I think I am about to start some image recognition with R, in order to find traffic-calming devices on fine satellite imagery. <span class="h-card" translate="no"><a href="https://amicale.net/@cquest" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>cquest</span></a></span> has been doing some of that with Python. <br>Has somebody been there and has some words of advice or tips ?<br>Thanks !</p>
Emil Hvitfeldt<p>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 <a href="https://fosstodon.org/tags/tidymodels" class="mention hashtag" rel="tag">#<span>tidymodels</span></a></p>
Emil Hvitfeldt<p>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<br /><a href="https://fosstodon.org/tags/rstats" class="mention hashtag" rel="tag">#<span>rstats</span></a> <a href="https://fosstodon.org/tags/tidymodels" class="mention hashtag" rel="tag">#<span>tidymodels</span></a></p>
Posit<p>This summer, join the tidymodels team as an intern and help expand the possibilities of feature selection!</p><p>Over the years, our eight summer interns have added incredible contributions, including packages like agua, applicable, bundle, butcher, shinymodels, spatialsample, and stacks. Now, it’s your turn to shape the future of <a href="https://fosstodon.org/tags/tidymodels" class="mention hashtag" rel="tag">#<span>tidymodels</span></a> <a href="https://fosstodon.org/tags/RStats" class="mention hashtag" rel="tag">#<span>RStats</span></a> tools! 📊</p><p>Learn more and apply: <a href="https://www.tidyverse.org/blog/2025/01/tidymodels-2025-internship/" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://www.</span><span class="ellipsis">tidyverse.org/blog/2025/01/tid</span><span class="invisible">ymodels-2025-internship/</span></a></p>
Art Steinmetz<p>Combining two of my favorite things. <br /><a href="https://fosstodon.org/tags/RStats" class="mention hashtag" rel="tag">#<span>RStats</span></a> <br /> and oysters. My latest blog post is a project to predict New York Harbor water quality using data from Billionoysterproject.org and <a href="https://fosstodon.org/tags/tidymodels" class="mention hashtag" rel="tag">#<span>tidymodels</span></a> <br /><a href="https://outsiderdata.netlify.app/posts/2024-12-05-predicting-water-quality-in-new-york-harbor/oyster" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">outsiderdata.netlify.app/posts</span><span class="invisible">/2024-12-05-predicting-water-quality-in-new-york-harbor/oyster</span></a></p>
Steven Sanderson<p>🚀 Introducing **tidyAML**: the new R package for automated machine learning! </p><p>Quickly generate multiple regression models with just a few lines of code, all while leveraging the powerful **tidymodels** ecosystem. </p><p>No Java setup needed! Perfect for beginners &amp; pros alike. </p><p>Check it out! <a href="https://rstats.me/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rstats</span></a> <a href="https://rstats.me/tags/AutoML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AutoML</span></a> <a href="https://rstats.me/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://rstats.me/tags/tidymodels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tidymodels</span></a> <a href="https://rstats.me/tags/parsnip" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>parsnip</span></a></p>
Steven P. Sanderson II, MPH<p>🚀 Introducing **tidyAML**: the new R package for automated machine learning! </p><p>Quickly generate multiple regression models with just a few lines of code, all while leveraging the powerful **tidymodels** ecosystem. </p><p>No Java setup needed! Perfect for beginners &amp; pros alike. </p><p>Check it out! <a href="https://mstdn.social/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rstats</span></a> <a href="https://mstdn.social/tags/AutoML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AutoML</span></a> <a href="https://mstdn.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://mstdn.social/tags/tidymodels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tidymodels</span></a> <a href="https://mstdn.social/tags/parsnip" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>parsnip</span></a></p>