Dear Guix maintainers, If I run: guix shell python-scikit-learn and in it, run: python3 -c "from sklearn.feature_extraction.text import CountVectorizer" I get: RuntimeError: module compiled against API version 0x10 but this version of numpy is 0xf . Check the section C-API incompatibility at the Troubleshooting ImportError section at https://numpy.org/devdocs/user/troubleshooting-importerror.html#c-api-incompatibility for indications on how to solve this problem . Traceback (most recent call last): File "<string>", line 1, in <module> File "/usr/lib/python3.10/site-packages/sklearn/__init__.py", line 82, in <module> from .base import clone File "/usr/lib/python3.10/site-packages/sklearn/base.py", line 17, in <module> from .utils import _IS_32BIT File "/usr/lib/python3.10/site-packages/sklearn/utils/__init__.py", line 17, in <module> from scipy.sparse import issparse File "/usr/lib/python3.10/site-packages/scipy/sparse/__init__.py", line 267, in <module> from ._csr import * File "/usr/lib/python3.10/site-packages/scipy/sparse/_csr.py", line 10, in <module> from ._sparsetools import (csr_tocsc, csr_tobsr, csr_count_blocks, ImportError: numpy.core.multiarray failed to import
I can't look into it right now, but I'm available to provide any necessary information. Cheers, Edouard.