Et trobarem a faltar.
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Bon any 2025 a tothom!
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Bon any 2025 Vietnam!
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At the moment, this is how I like to check and load #rstats packages in my scripts, including non-CRAN packages. It requires {rlang} and {pak} packages.
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Here the code: https://gist.github.com/jrosell/667fee58c8ff47a99591fa6122e04ed3
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Thanks to @koaning for pointing out this visualization in Stack Overflow https://stackoverflow.com/a/49535509/481463 in this video https://www.youtube.com/watch?v=3M2Gmuh5mtI
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I used F1 score in the past in many machine learning projects in #rstats and #python (It's useful for imbalanced classification problems), but I hadn't visualized its relationship with precision and recall UNTIL TODAY :)
Here a {rayshader} #dataviz comparing F1 score harmonic mean (As you see, it penalizes the score if one metric is bad) with the mean (It simply averages metrics).
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Playing arround with the new {frak} package from @coolbutuseless #rstats
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I've completed "Print Queue" - Day 5 - Advent of Code 2024 #AdventOfCode https://jrosell.github.io/AdventOfCode/2024/05.html
First loop of the year in the second part #rstats
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I just completed "Ceres Search" - Day 4 - Advent of Code 2024 #AdventOfCode #rstats https://jrosell.github.io/AdventOfCode/2024/04.html
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People saying that R being licensed as GPL is bad, should know that Linux kernel is also GPL.
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Quin és el millor model Text-to-Speach en català? Aquí pots comparar-ne alguns de projecte aina, facebook, microsoft, mozilla...
https://github.com/jrosell/playground4tts
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{ggplot2} and {magick} magic in #rstats :)
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I love rlang::chr() over c() in #rstats because it accepts missing arguments with no default and it does type checking.
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How to implement function composition pipelines in Python like we do in R. #rstats https://gist.github.com/jrosell/2a5ec18785dbdcfff73a471856f4bca3
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I did some benchmarking and rlang::hash seems quite fast to me. Faster than digest::digest and other #rstats packages.
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Trying codegrip keybinding in positron for some #rstats code
[{ "key": "Ctrl+tab", "command": "workbench.action.executeCode.console", "description": "Reshape expressions longer or wider", "when": "editorTextFocus", "args": "codegrip::addin_reshape()" }]
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Is this a bug or an enhancement for positron IDE #rstats?
https://github.com/posit-dev/positron/issues/5040
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I still didn't read this https://people.idsia.ch//~marco/papers/2017jmlr-tests.pdf
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Please #rstats people, can you give me some literature about comparing two or more than two models & accounting for the within-resample correlation (same folds) using a Bayesian hierarchical model?
Note: I've already read this https://www.tmwr.org/compare#tidyposterior
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