To build scikit-learn from source, we need to make sure that we have scikit-learn build dependencies installed first:
$ conda install numpy scipy cython # should be already installed
$ cd scikit-learn/
$ pip install --verbose --no-use-pep517 --no-build-isolation -e .
$ cd ..
$ pip show scikit-learn
We can check that we can import scikit-learn in an interactive IPython session:
Install ipython:
$ conda install ipython
Then launch it to import scikit-learn
$ ipython
>>> import sklearn
>>> sklearn.__version__
1.1.dev0
>>> sklearn.show_versions()
[...] more details
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Many Python projects follow similar coding and packaging conventions. For instance, if you also want to build numpy from source (optional), you can do as follows:
$ cd numpy/
$ pip install --verbose --no-build-isolation -e .
$ cd ..
$ pip show numpy
$ ipython
>>> import numpy as np
>>> print(np.__version__)
1.xx.dev0+xxxxx
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