Issue with ValX dependency: scikit-learn installation. #1
Description
Issue with ValX dependency: scikit-learn installation.
This issue is related to the installation of ValX, but not caused by ValX's code.
What happened?
Due to no prebuilt distributions for scikit-learn, ValX fails to install scikit-learn and tries to compile sklearn's package code from source. This raises an error during installation due to OpenMP compilation errors, especially on macOS.
Solution
Why this happens
If you go to PYPI and look at supporting scikit-learn versions for your platform, prebuilt wheels are usually for lower versions of Python (3.11 and lower). They are more often than not, rather specific to your platform. This is why pip then tries to build from source, since no matching pre-compiled wheels were found.
1. Build from source
You can work from source and build, compile, and install scikit-learn, before installing valx.
Warning
When building from source, follow scikit-learn's official documentation to avoid errors during compilation.
2. Use a prebuilt wheel
You can change your version of Python to one supported by the scikit-learn version you want to use. Check which version supports the platform and the Python version you are running. You can do this by going to: https://pypi.org/project/scikit-learn/#files.
You'll notice that the filename looks something like this:
scikit_learn-1.5.2-cp313-cp313-macosx_12_0_arm64.whl
This filename states that this prebuilt wheel is scikit_learn version 1.5.2 for Python 3.13 and macOS 12.0 arm64.
Note
There are other workarounds to resolve this issue, such as trying to disable OpenMP during the installation of scikit-learn, but this will disable OpenMP parallelism in scikit-learn.