8000 Upload musllinux wheel to PyPI · Issue #27004 · scikit-learn/scikit-learn · GitHub
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Upload musllinux wheel to PyPI #27004
@mapa17

Description

@mapa17

Describe the workflow you want to enable

I want to pip install scikit-learn==1.3.0 into a docker alpine 3.11 Installation, but it appears that here are no wheels available for that platform.

Pip shows my my platform tags as

  cp311-cp311-musllinux_1_2_x86_64
  cp311-cp311-musllinux_1_1_x86_64
  cp311-cp311-musllinux_1_0_x86_64
  cp311-cp311-linux_x86_64
  cp311-abi3-musllinux_1_2_x86_64
  cp311-abi3-musllinux_1_1_x86_64
  cp311-abi3-musllinux_1_0_x86_64
  cp311-abi3-linux_x86_64
  cp311-none-musllinux_1_2_x86_64
  cp311-none-musllinux_1_1_x86_64
  cp311-none-musllinux_1_0_x86_64
  cp311-none-linux_x86_64

Available wheels in pypy are

scikit_learn-1.3.0-cp311-cp311-win_amd64
scikit_learn-1.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64
scikit_learn-1.3.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64
scikit_learn-1.3.0-cp311-cp311-macosx_12_0_arm64.whl
scikit_learn-1.3.0-cp311-cp311-macosx_10_9_x86_64.whl

Describe your proposed solution

I unfortunately dont understand enough about wheels, but Can I build a wheel for my platform or use "scikit_learn-1.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64" somehow?

Describe alternatives you've considered, if relevant

No response

Additional context

No response

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