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topepo

@topepo@fosstodon.org

Statistician working on #rstats modeling packages at #posit née #rstudio. #tidymodels
Posts are my own. Will probably ignore questions that belong on StackOverflow.

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topepo, to statistics
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For model calibration (esp via logistic regression), does anyone know of a statistical investigation of the properties of the resulting calibrated predictions?

IOW, if we use predictions from one model as inputs to another model, do we know the probability distribution of the final predictions?

topepo, to random
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A new version of the #rstats probably package is on CRAN. A minor update with a bug fix and under-the-hood changes for the upcoming tune version.

But there’s finally a hex logo (thanks to Edgar Ruiz) so we have that going for us. Which is nice.

https://probably.tidymodels.org/

topepo, to random
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A new version of the #rstats brulee package.

brulee is a high-level torch interface to basic models such as linear regression or feedforward neural networks.

There were few changes, most notably more neural network activation functions.

https://brulee.tidymodels.org/

brodriguesco, to random
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topepo,
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@brodriguesco @yihui

I don't really have much to say than other this (so nobody @ me)...

For some citizenship documentation, I wrote up an analysis of how much Yihui’s work is used in our community. I can’t find those results but here is an underestimate of downloads of his packages that I can list off the top of my head. Those units are crazy.

He’s great! You’ll be lucky to work with him if you get the chance.

topepo, to random
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A little post on model-related talks and workshops at the 2023 Posit conference

https://posit.co/blog/modeling-talks-at-positconf/

#positconf2023 #rstats

topepo, to random
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Hey folks who do survival analysis... have you ever seen or used negative times? If so, what's that about?

topepo, to random
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Kjell Johnson and I are working on a new book: Applied Machine Learning for Tabular Data.

https://aml4td.org/

Content on pre-processing, feature engineering, supervised models, and post-processing.

We would love to get feedback.

Written with #quartopub and #rstats

No code on the main site but there is a computing supplement using #tidymodels. We hope to have a scikit-learn supplement too.

Drmowinckels, to webassembly
@Drmowinckels@fosstodon.org avatar

well, my first attempts at #shinylive are not going great. How about y'all?

#rstats #shiny #webassembly

topepo,
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@Drmowinckels It might be slightly out of date but maybe this will help:

https://topepo.github.io/shinylive-in-book-test/

topepo,
@topepo@fosstodon.org avatar

@Drmowinckels The hardest thing for me was data access. I think that they are still working on that:

https://github.com/posit-dev/r-shinylive/issues/13

topepo,
@topepo@fosstodon.org avatar

@noamross @Drmowinckels

For better or worse, “if you’re going to live in JavaScript’s house, you have to follow JavaScript’s rules”

topepo, to random
@topepo@fosstodon.org avatar

Fantastic talk by Joe Cheng at #positconf2023 on using #shiny with #quartopub.

I've made an #rstats Quarto book demo with a wasm-embedded shiny app to demonstrate how class boundaries change with the complexity of natural splines.

Sources: https://github.com/topepo/shinylive-in-book-test

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