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author | Wouter Deconinck <wdconinc@gmail.com> | 2023-07-06 15:42:56 -0500 |
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committer | GitHub <noreply@github.com> | 2023-07-06 13:42:56 -0700 |
commit | 9e4c4be3f523a0d144870dbf5645ad7bf0ff04be (patch) | |
tree | 9403c5b75349270d73db6f1b5a74b35d947efdc5 /.github/workflows/generate_spack_yaml_containerize.sh | |
parent | 6c325a22467159ec37580e5e9355508d42dca563 (diff) | |
download | spack-9e4c4be3f523a0d144870dbf5645ad7bf0ff04be.tar.gz spack-9e4c4be3f523a0d144870dbf5645ad7bf0ff04be.tar.bz2 spack-9e4c4be3f523a0d144870dbf5645ad7bf0ff04be.tar.xz spack-9e4c4be3f523a0d144870dbf5645ad7bf0ff04be.zip |
mlpack: new package (#38277)
* mlpack: new package
mlpack is an intuitive, fast, and flexible header-only C++ machine learning library with bindings to other languages. It is meant to be a machine learning analog to LAPACK, and aims to implement a wide array of machine learning methods and functions as a "swiss army knife" for machine learning researchers.
* mlpack: upstream merged patch to allow python installation in spack
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