veganism.social is one of the many independent Mastodon servers you can use to participate in the fediverse.
Veganism Social is a welcoming space on the internet for vegans to connect and engage with the broader decentralized social media community.

Administered by:

Server stats:

214
active users

#tidymodels

1 post1 participant0 posts today
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/" rel="nofollow noopener" translate="no" target="_blank"><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="nofollow noopener" target="_blank">#<span>rstats</span></a> <a href="https://fosstodon.org/tags/tidymodels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tidymodels</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="nofollow noopener" target="_blank">#<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="nofollow noopener" target="_blank">#<span>tidymodels</span></a> <a href="https://fosstodon.org/tags/RStats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RStats</span></a> tools! 📊</p><p>Learn more and apply: <a href="https://www.tidyverse.org/blog/2025/01/tidymodels-2025-internship/" rel="nofollow noopener" translate="no" target="_blank"><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>
Posit<p>Introducing support for postprocessing in tidymodels!</p><p>Postprocessors refine predictions outputted from machine learning models to improve predictive performance or better satisfy distributional limitations.</p><p>The tidymodels team has been working on a set of changes across many <a href="https://fosstodon.org/tags/tidymodels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tidymodels</span></a> packages to introduce support for postprocessing. They would love to hear your thoughts on their progress so far!</p><p>Learn more in the blog post: <a href="https://www.tidyverse.org/blog/2024/10/postprocessing-preview/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">tidyverse.org/blog/2024/10/pos</span><span class="invisible">tprocessing-preview/</span></a></p><p><a href="https://fosstodon.org/tags/RStats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RStats</span></a></p>
Noam Ross<p>Preprint from Simon Wood on the new cross-validation smoothness estimation in <a href="https://ecoevo.social/tags/mgcv" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mgcv</span></a>: <a href="https://arxiv.org/abs/2404.16490" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/abs/2404.16490</span><span class="invisible"></span></a>. It's a neat performant + data-efficient way to estimate GAMs based on complex CV splits (like spatial/temporal/phylo ones).</p><p>See ?NCV in latest {mgcv} for examples (<a href="https://cran.r-universe.dev/mgcv/doc/manual.html#NCV" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">cran.r-universe.dev/mgcv/doc/m</span><span class="invisible">anual.html#NCV</span></a>)</p><p>I might write a helper to convert {rsample}/{spatialsample} objects into mgcv's funny CV indexing structure.</p><p><a href="https://ecoevo.social/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rstats</span></a> <a href="https://ecoevo.social/tags/ml" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ml</span></a> <a href="https://ecoevo.social/tags/tidymodels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tidymodels</span></a> <a href="https://ecoevo.social/tags/mgcvchat" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mgcvchat</span></a> <span class="h-card" translate="no"><a href="https://fosstodon.org/@MikeMahoney218" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>MikeMahoney218</span></a></span> <span class="h-card" translate="no"><a href="https://mastodon.social/@gavinsimpson" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>gavinsimpson</span></a></span> <span class="h-card" translate="no"><a href="https://ecoevo.social/@ericJpedersen" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>ericJpedersen</span></a></span> <span class="h-card" translate="no"><a href="https://mathstodon.xyz/@millerdl" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>millerdl</span></a></span></p>
R-Ladies Paris<p>📷 Let's take a moment to relive the moments from our recent in-person gathering through these snapshots! </p><p>We had the pleasure of hosting María Paula Caldas, Data Scientist at OECD, and Julie Aubert, INRAE Research Engineer, who respectively delivered <a href="https://mastodon.social/tags/inspiring" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>inspiring</span></a> talks on the development of <a href="https://mastodon.social/tags/packages" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>packages</span></a> and statistical models using {<a href="https://mastodon.social/tags/Tidymodels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Tidymodels</span></a>} in <a href="https://mastodon.social/tags/R" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>R</span></a>. </p><p>You can find the replay here: <br>👉 <a href="https://youtu.be/wEVKoPhB25g" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/wEVKoPhB25g</span><span class="invisible"></span></a> </p><p>👥<span class="h-card" translate="no"><a href="https://mastodon.social/@chaimaboughanmi" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>chaimaboughanmi</span></a></span> <span class="h-card" translate="no"><a href="https://mastodon.social/@mouna_belaid" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>mouna_belaid</span></a></span> <span class="h-card" translate="no"><a href="https://hachyderm.io/@RLadiesGlobal" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>RLadiesGlobal</span></a></span> <span class="h-card" translate="no"><a href="https://fosstodon.org/@Posit" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>Posit</span></a></span> </p><p><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/RLadies" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RLadies</span></a> <a href="https://mastodon.social/tags/RLadiesParis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RLadiesParis</span></a></p>