Deprecation of sklearn.externals.joblib

[Aron Molnar]

$ formasaurus init
/usr/local/lib/python3.8/site-packages/sklearn/externals/joblib/__init__.py:15: FutureWarning: sklearn.externals.joblib is deprecated in 0.21 and will be removed in 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib. If this warning is raised when loading pickled models, you may need to re-serialize those models with scikit-learn 0.21+.
  warnings.warn(msg, category=FutureWarning)

scikit-learn 0.23 was released three days ago: https://github.com/scikit-learn/scikit-learn/releases
New installations of formasaurus are not possible any more using the default pip installation.

Either, the code is adapted (import directly from joblib), or requirements.txt is updated to:

\# 0.18 is need for GroupKFold, 0.23 sklearn.externals.joblib deprecated
scikit-learn >= 0.18, <=0.22.2.post1

Current workaround is:

pip3 install formasaurus
pip3 install -U scikit-learn==0.22.2.post1

[Dogan Can Bakir]

@al3xdelarge This is fixed by 5f78264

[l0nedigit]

Any way to get this merged/closed and pushed to PyPi? Thanks in advance.

Looks like the environment variable for python 3.6 test is incorrect (py34).

https://travis-ci.org/github/TeamHG-Memex/Formasaurus/jobs/693885894

[Attila Szász]

Anyone can please address the above?

It'd be good to get v0.9.0 to PyPi and be able to integrate with current sklearn versions.

Thanks in advance!

[Attila Szász]

For those who can't wait for the update in PyPi, remember you can refer a pip requirements.txt dependency as a zip file.
In this case add a line like:

https://github.com/TeamHG-Memex/Formasaurus/archive/refs/tags/0.9.0.zip#sha1=87d7c0ca96c1d9292ce359e197974325bd8a7e60

I tested, 0.9.0 works.