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csinva / imodels

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
https://csinva.io/imodels
MIT License
1.39k stars 122 forks source link

[JOSS] Guide for installation #43

Closed jungtaekkim closed 3 years ago

jungtaekkim commented 3 years ago

Hi authors,

I am reviewing your submission and imodels repository.

I am looking into your software, but I cannot find a guide for installing your software.

If you support PyPI installation or installation with setuptools, please add some description about these for the future users of your software.

Best, Jungtaek.

csinva commented 3 years ago

HI Jungtaek,

Thanks for taking the time to review the software, it is much appreciated! We currently have a line describing the installation process near the top of the readme:

"Install with pip install imodels (see here for help)."

The package can therefore be installed with PyPI (easiest) or through cloning and running python setup.py install.

We will make this clearer in the readme!

Best, Chandan

jungtaekkim commented 3 years ago

@csinva Okay, it would be helpful to other users. I will open other issues if I need to leave a comment.

Best, Jungtaek.