sebffischer
sebffischer@mastodon.social
<p>PhD Student in Statistics / Machine Learning. Working on mlr3, which is a machine learning framework in R.</p><p>Also working on a code transformation framework for R (jit compilation, autodiff): <a href="https://r-xla.github.io/anvl/" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="">r-xla.github.io/anvl/</span><span class="invisible"></span></a></p>
Posts
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Big new release in {anvl} (formerly called anvil, which conflicted with the AnVIL bioconductor package): https://github.com/r-xla/anvl/releases/tag/v0.2.0 There are too many features to list here, but one of the biggest ones is the introduction of eager mode, so usability of the package should be greatly improved! #rstats
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Why do I have to write C Code in R to pre-allocate a vector with a certain capacity? #rstats
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What&#39;s the best &quot;data.table&quot;-like DSL for n-dimensional arrays? I am already aware of DumPy: https://dynomight.net/dumpy/ I am exploring ideas how to make array computations more readable. #rstats
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In an R package, I am linking against R&#39;s LAPACK but ideally would like to have access to the the single precision float routines, which are not bundled there (on windows) because R does not use them. Does anyone have a recommendation how to also get access to f32 routines on windows? #rstats
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Would anyone be interested in implementing a bayesian package (NUTS, HMC, etc.) on top of https://github.com/r-xla/anvil? #rstats
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Has someone managed to publish a package on CRAN that downloads some prebuilt binaries? The C++ library I depend on uses LLVM and MLIR and the build is pretty complicated and I would really not like to maintain it as part of the CRAN package. #rstats
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A few weeks ago I released (so far only on r-universe) the 0.1.0 version of my array computing framework for R (jit compiles, supports autodiff and runs on CPU and GPU): Check it out here: https://github.com/r-xla/anvil #rstats