![]() Other significant fixes in 2020.3.2 include: Update now and share your feedback with us! Please note that a previously installed P圜harm version running via Rosetta2 will not update to run natively. To start working, download the separate installer for P圜harm for Apple Silicon from our website or via the Toolbox App (under the Available for Apple M1 section). It appears that there is a lot currently changing with respect to Apple M1 support, so this might become still easier soon.We have special news for those of you using Mac with an M1 chip: P圜harm 2020.3.2 is out and brings support for Apple Silicon! I needed the older numpy version because there is also tensorflow installed in this environment which is not compatible with newer numpy versions I do not know whether your newer numpy could contribute to the problems you encountered. There were the Apple developer tools (XCode, xcode-select) and some other packages installed via homebrew, and in a pyenv virtualenv environment before, which might also be relevant, so I add them here below: brew install openblas pkg-config pyenv pyenv-virtualenv So the information on the scikit-learn homepage about the conda installation path being necessary is outdated, it seems. Python -m pip install -no-use-pep517 scikit-learn"=0.24.2" Python -m pip install -no-cache -no-binary :all: -no-use-pep517 scipy"=1.7.1" Python -m pip install -no-cache -no-use-pep517 pythran cython pybind11 gast"=0.4.0" I just had success using the following sequence of commands, base on Python 3.8.11 (especially scipy compilation took some time, so this process is not a quick one, unfortunately): # SciPy: I do not know why numpy would be built again (maybe scipy has other version requirements?), but I can report on a way how to install scipy and scikit-learn. # later in the process it installs using setuptools Here apparently we had no wheel available, so we have to build it ourselves with setuptools running setup.py. Here we are downloading a pre-built wheel that has very few limitations: it works for any version of python 3, for any os, for any architecture (like amd64 or arm64): click-8.0.3-p圓-none-any.whl Collecting click>=7.0 Building the wheel ourselves takes more cpu time, and is generally less reliable but works in this case. This happens because the authors don't publish a prebuilt wheel to Pipy, but more and more people are adding this to their CI (github actions) workflow. Or, if no prebuilt wheel exists (sad) then we download a tar.gz and build it ourselves. Note on Pipy: we usually download either a pre-built wheel (yay, this is excellent for reliable distribution and ensuring compatability). ![]() Successfully installed scikit-learn-1.0.1 scipy-1.7.3 ![]() Installing collected packages: scipy, scikit-learn Building wheels for collected packages: scikit-learnīuilding wheel for scikit-learn (pyproject.toml). Pip downloaded the source from Pipy, then built the wheel targeting MacOS X 12.0, and arm64 (apple silicon): scikit_learn-1.0.1-cp38-cp38-macosx_12_0_arm64.whl. Worked great on Apple Silicon M1 □ Extra details about how Pip works ![]() Just first brew install openblas - it has instructions for different processors ( wikipedia) brew install openblasĮxport OPENBLAS=$(/opt/homebrew/bin/brew -prefix openblas)Įxport CFLAGS="-falign-functions=8 $"
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