Python mac m1 install8/5/2023 ![]() It’s crucial to install these dependencies using conda and not pip here. Create a new conda environment containing Python, numpy, scikit-learn, and scipy.These dependencies need to be arm64-compatible, which we’ll ensure by completing the following steps: This is not a problem because XGBoost itself can actually run on your Apple M1 machine the issue is with the dependencies that XGBoost installs, specifically numpy, scipy, and scikit-learn. If it is, run conda uninstall python-blosc to remove it.įinally, If you’re looking to run XGBoost on your Apple M1 machine, you’ll need to jump through some extra hoops as there is currently no arm64-compatible version of XGBoost available on conda-forge. ![]() To avoid this, make sure that python-blosc is not installed in your current software environment. as part of import coiled) with a segmentation fault. For some unknown reason, kernels crash on Apple M1 machines when importing python-blosc (e.g. The second issue was due to a conflict caused by the python-blosc library. The first issue was resolved by switching over to mambaforge and installing all the required PyData libraries from there, as outlined in the step-by-step guide above.
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