Fixing Anaconda Install environment-py38.yml

[DanielDaCosta]

Proposed changes

Fixing the following error that shows up when we try to create a conda environment from environment-py38.yml:

The conflict is caused by:
    The user requested numpy==1.20.3
    h5py 2.10.0 depends on numpy>=1.7
    lightgbm 3.2.1 depends on numpy
    matplotlib 3.4.1 depends on numpy>=1.16
    numba 0.53.1 depends on numpy>=1.15
    opt-einsum 3.3.0 depends on numpy>=1.7
    pandas 1.2.4 depends on numpy>=1.16.5
    patsy 0.5.1 depends on numpy>=1.4
    pygam 0.8.0 depends on numpy
    pyro-ppl 1.6.0 depends on numpy>=1.7
    scikit-learn 0.23.2 depends on numpy>=1.13.3
    scipy 1.4.1 depends on numpy>=1.13.3
    seaborn 0.11.1 depends on numpy>=1.15
    shap 0.37.0 depends on numpy
    statsmodels 0.12.2 depends on numpy>=1.15
    torch 1.8.1 depends on numpy
    xgboost 1.4.1 depends on numpy
    causalml 0.10.0 depends on numpy<1.19.0 and >=0.16.0

Types of changes

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• [x ] Bugfix (non-breaking change which fixes an issue)
• [ ] New feature (non-breaking change which adds functionality)
• [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
• [ ] Documentation Update (if none of the other choices apply)

Checklist

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• [ x] I have read the CONTRIBUTING doc
• [ x] I have signed the CLA
• [ x] Lint and unit tests pass locally with my changes
• [ x] I have added tests that prove my fix is effective or that my feature works
• [ x] I have added necessary documentation (if appropriate)
• [ x] Any dependent changes have been merged and published in downstream modules

Further comments

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[CLAassistant]

All committers have signed the CLA.

[ppstacy]

Thanks @DanielDaCosta for your contribution here!

Hi @jeongyoonlee I have a quick question, do you think if it's possible for us to set up the unit test for the environment YAML file here to check if the changes can pass or not? Or the reviewers can test it on their local, any suggestions here? Thanks!

[jeongyoonlee]

Thanks, @DanielDaCosta, for the contribution. This is just because latest causalml with updated dependencies hasn't been published to PyPI yet. It'd be better not to lower the numpy version in the environment file, but install dependencies without causalml by commenting it out, then install latest causalml from GitHub or local directory directly.

@ppstacy, it might be possible to set up GitHub Action to test conda environment files. Let's look into it.