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 noreferrer" target="_blank">#R</a> <a class="hashtag" href="https://bsky.app/search?q=%23package" rel="nofollow noopener noreferrer" target="_blank">#package</a> { <a href="https://healthyR.ai" rel="nofollow noopener noreferrer" 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 noreferrer" target="_blank">#tidymodels</a> <a class="hashtag" href="https://bsky.app/search?q=%23parsnip" rel="nofollow noopener noreferrer" target="_blank">#parsnip</a> from the <a class="hashtag" href="https://bsky.app/search?q=%23tidyverse" rel="nofollow noopener noreferrer" target="_blank">#tidyverse</a>
<a href="https://www.spsanderson.com/healthyR.ai/reference/index.html#data-preprocessors" rel="nofollow noopener noreferrer" target="_blank">www.spsanderson.com/healthyR.ai/...</a>
<a class="hashtag" href="https://bsky.app/search?q=%23RStats" rel="nofollow noopener noreferrer" target="_blank">#RStats</a> <a class="hashtag" href="https://bsky.app/search?q=%23Data" rel="nofollow noopener noreferrer" target="_blank">#Data</a> <a class="hashtag" href="https://bsky.app/search?q=%23ModelData" rel="nofollow noopener noreferrer" target="_blank">#ModelData</a></p>
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#tidymodels
3 posts · 3 participants · 0 posts today
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 noreferrer" target="_blank">#<span>R</span></a> <a href="https://rstats.me/tags/package" class="mention hashtag" rel="nofollow noopener noreferrer" 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 noreferrer" target="_blank">#<span>tidymodels</span></a> <a href="https://rstats.me/tags/parsnip" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>parsnip</span></a> from the <a href="https://rstats.me/tags/tidyverse" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tidyverse</span></a> </p><p><a href="https://www.spsanderson.com/healthyR.ai/reference/index.html#data-preprocessors" rel="nofollow noopener noreferrer" 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 noreferrer" target="_blank">#<span>RStats</span></a> <a href="https://rstats.me/tags/Data" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Data</span></a> <a href="https://rstats.me/tags/ModelData" class="mention hashtag" rel="nofollow noopener noreferrer" 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 noreferrer" target="_blank">#<span>R</span></a> <a href="https://mstdn.social/tags/package" class="mention hashtag" rel="nofollow noopener noreferrer" 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 noreferrer" target="_blank">#<span>tidymodels</span></a> <a href="https://mstdn.social/tags/parsnip" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>parsnip</span></a> from the <a href="https://mstdn.social/tags/tidyverse" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tidyverse</span></a> </p><p><a href="https://www.spsanderson.com/healthyR.ai/reference/index.html#data-preprocessors" rel="nofollow noopener noreferrer" 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 noreferrer" target="_blank">#<span>RStats</span></a> <a href="https://mstdn.social/tags/Data" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Data</span></a> <a href="https://mstdn.social/tags/ModelData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ModelData</span></a></p>
Victor Alexandre<p>Hello <a href="https://mastodon.social/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rstats</span></a> <a href="https://mastodon.social/tags/tidymodels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tidymodels</span></a> <a href="https://mastodon.social/tags/yolo" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>yolo</span></a> <a href="https://mastodon.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener noreferrer" 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 noreferrer" 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 noreferrer" 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 noreferrer" 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 & pros alike. </p><p>Check it out! <a href="https://rstats.me/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rstats</span></a> <a href="https://rstats.me/tags/AutoML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AutoML</span></a> <a href="https://rstats.me/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a> <a href="https://rstats.me/tags/tidymodels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tidymodels</span></a> <a href="https://rstats.me/tags/parsnip" class="mention hashtag" rel="nofollow noopener noreferrer" 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 & pros alike. </p><p>Check it out! <a href="https://mstdn.social/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rstats</span></a> <a href="https://mstdn.social/tags/AutoML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AutoML</span></a> <a href="https://mstdn.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a> <a href="https://mstdn.social/tags/tidymodels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tidymodels</span></a> <a href="https://mstdn.social/tags/parsnip" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>parsnip</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="tag">#<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/" target="_blank" rel="nofollow noopener noreferrer" translate="no"><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="tag">#<span>RStats</span></a></p>
Steven Sanderson<p>The healthyverse meta package:</p><p>healthyR: Streamline hospital data workflows<br>healthyR.ts: Master time series analysis<br>healthyR.ai: Implement AI modeling seamlessly<br>healthyR.data: Access curated healthcare datasets<br>TidyDensity: Simplify probability distributions<br>tidyAML: Automate machine learning with tidymodels<br>RandomWalker: Explore random walk analysis</p><p>install.packages("healthyverse")<br>library(healthyverse)</p><p><a href="https://www.spsanderson.com/healthyverse/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">spsanderson.com/healthyverse/</span><span class="invisible"></span></a></p><p><a href="https://rstats.me/tags/R" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>R</span></a> <a href="https://rstats.me/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RStats</span></a> <a href="https://rstats.me/tags/ML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ML</span></a> <a href="https://rstats.me/tags/automl" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>automl</span></a> <a href="https://rstats.me/tags/tidymodels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tidymodels</span></a> <a href="https://rstats.me/tags/parsnip" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>parsnip</span></a> <a href="https://rstats.me/tags/randomwalks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>randomwalks</span></a></p>
Steven P. Sanderson II, MPH<p>The healthyverse meta package:</p><p>healthyR: Streamline hospital data workflows<br>healthyR.ts: Master time series analysis<br>healthyR.ai: Implement AI modeling seamlessly<br>healthyR.data: Access curated healthcare datasets<br>TidyDensity: Simplify probability distributions<br>tidyAML: Automate machine learning with tidymodels<br>RandomWalker: Explore random walk analysis</p><p>install.packages("healthyverse")<br>library(healthyverse)</p><p><a href="https://www.spsanderson.com/healthyverse/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">spsanderson.com/healthyverse/</span><span class="invisible"></span></a></p><p><a href="https://mstdn.social/tags/R" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>R</span></a> <a href="https://mstdn.social/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RStats</span></a> <a href="https://mstdn.social/tags/ML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ML</span></a> <a href="https://mstdn.social/tags/automl" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>automl</span></a> <a href="https://mstdn.social/tags/tidymodels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tidymodels</span></a> <a href="https://mstdn.social/tags/parsnip" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>parsnip</span></a> <a href="https://mstdn.social/tags/randomwalks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>randomwalks</span></a></p>
Steven P. Sanderson II, MPH<p>some more <a href="https://mstdn.social/tags/TimeSeries" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TimeSeries</span></a> testing in <a href="https://mstdn.social/tags/r" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>r</span></a> <a href="https://mstdn.social/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RStats</span></a> using the <a href="https://mstdn.social/tags/tidymodels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tidymodels</span></a> <a href="https://mstdn.social/tags/parsnip" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>parsnip</span></a> extension <a href="https://mstdn.social/tags/modeltime" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>modeltime</span></a></p>
Steven Sanderson<p>some more <a href="https://rstats.me/tags/TimeSeries" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TimeSeries</span></a> testing in <a href="https://rstats.me/tags/r" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>r</span></a> <a href="https://rstats.me/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RStats</span></a> using the <a href="https://rstats.me/tags/tidymodels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tidymodels</span></a> <a href="https://rstats.me/tags/parsnip" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>parsnip</span></a> extension <a href="https://rstats.me/tags/modeltime" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>modeltime</span></a></p>
Steven Sanderson<p>I think I may move my tidyAML to something like the following, takes away from the current dynamic creation but helps isolate issues maybe, idk.</p><p><a href="https://rstats.me/tags/R" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>R</span></a> <a href="https://rstats.me/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RStats</span></a> <a href="https://rstats.me/tags/Programming" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Programming</span></a> <a href="https://rstats.me/tags/tidymodels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tidymodels</span></a> <a href="https://rstats.me/tags/parsnip" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>parsnip</span></a> </p><p><span class="h-card" translate="no"><a href="https://fosstodon.org/@johnmackintosh" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>johnmackintosh</span></a></span> <span class="h-card" translate="no"><a href="https://hachyderm.io/@rOpenSci" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>rOpenSci</span></a></span></p>
Steven P. Sanderson II, MPH<p>I think I may move my tidyAML to something like the following, takes away from the current dynamic creation but helps isolate issues maybe, idk.</p><p><a href="https://mstdn.social/tags/R" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>R</span></a> <a href="https://mstdn.social/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RStats</span></a> <a href="https://mstdn.social/tags/Programming" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Programming</span></a> <a href="https://mstdn.social/tags/tidymodels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tidymodels</span></a> <a href="https://mstdn.social/tags/parsnip" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>parsnip</span></a> </p><p><span class="h-card" translate="no"><a href="https://fosstodon.org/@johnmackintosh" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>johnmackintosh</span></a></span> <span class="h-card" translate="no"><a href="https://hachyderm.io/@rOpenSci" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>rOpenSci</span></a></span></p>
Posit<p>recipes 1.1.0 is on CRAN! recipes lets you create a pipeable sequence of feature engineering steps.</p><p>Improvements in column type checking, allowing more data types to be passed to recipes, use of long formulas, and better error for misspelled argument names.</p><p>Check out the blog post for more details (and a delicious treat at the end 🍪): <a href="https://www.tidyverse.org/blog/2024/07/recipes-1-1-0/" target="_blank" rel="nofollow noopener noreferrer" translate="no"><span class="invisible">https://www.</span><span class="ellipsis">tidyverse.org/blog/2024/07/rec</span><span class="invisible">ipes-1-1-0/</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/tidymodels" class="mention hashtag" rel="tag">#<span>tidymodels</span></a> <a href="https://fosstodon.org/tags/machinelearning" class="mention hashtag" rel="tag">#<span>machinelearning</span></a></p>
Kelly Bodwin<p>ok how did I not know until now that you can add se.fit = TRUE to the predict() function to get errors?</p><p>and of course, I now see there is a std_error option and several others in the <a href="https://fosstodon.org/tags/tidymodels" class="mention hashtag" rel="tag">#<span>tidymodels</span></a> version</p><p>what do these do for nonparametric models, I wonder?</p><p>No matter how much I think I know, there is always so much more to learn... 🤓</p><p><a href="https://fosstodon.org/tags/useR2024" class="mention hashtag" rel="tag">#<span>useR2024</span></a></p>
Nicola Rennie<p>I'll be running an "Introduction to machine learning with {tidymodels}" workshop at RSS Conference in September!</p><p>Session details:<br />📅 Wednesday 4 September, 2024<br />⏰ 11:30am - 12:50pm<br />📍 Brighton, UK</p><p>More info: <a href="https://virtual.oxfordabstracts.com/#/event/6693/program?session=92723&s=2600" target="_blank" rel="nofollow noopener noreferrer" translate="no"><span class="invisible">https://</span><span class="ellipsis">virtual.oxfordabstracts.com/#/</span><span class="invisible">event/6693/program?session=92723&s=2600</span></a></p><p>Register: <a href="https://rss.org.uk/training-events/conference-2024/" target="_blank" rel="nofollow noopener noreferrer" translate="no"><span class="invisible">https://</span><span class="ellipsis">rss.org.uk/training-events/con</span><span class="invisible">ference-2024/</span></a></p><p><a href="https://fosstodon.org/tags/RSS2024Conf" class="mention hashtag" rel="tag">#<span>RSS2024Conf</span></a> <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> <a href="https://fosstodon.org/tags/MachineLearning" class="mention hashtag" rel="tag">#<span>MachineLearning</span></a></p>
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