Upload source dist to pypi for conda package

ray-project / tune-sklearn

A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.

https://docs.ray.io/en/master/tune/api_docs/sklearn.html

Apache License 2.0

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Upload source dist to pypi for conda package #159

Closed hadim closed 3 years ago

hadim commented 3 years ago

The pypi build only contains a wheel. It would be nice to have a source package for packaging on conda forge: https://pypi.org/project/tune-sklearn/#files

richardliaw commented 3 years ago

Oh nice -- @hadim did you already get to this?

hadim commented 3 years ago

Yup, it's there already https://github.com/conda-forge/tune-sklearn-feedstock/blob/master/recipe/meta.yaml#L9

richardliaw commented 3 years ago

Awesome, I wish I could send you a coffee for this! Thanks a bunch!

hadim commented 3 years ago

Thanks.

The package is here indeed but it relies on the git release archive. It is preferred on conda forge to rely on the source archive from pypi. Could you upload it for the next release? Currently pypi only contains the wheel archive.