Build artifacts at GitHub Actions

[StrikerRUS]

Wheels for all platforms and source archive will be automatically uploaded to Releases tab with each tagged commit.

For example please refer to https://github.com/StrikerRUS/lightning/releases/tag/untagged-a19e7c8d925f0295f2b6.

Unfortunately, neither manylinux2010 nor manylinux1 containers cannot be used due to the following restriction of Node.js: actions/runner#337. But I think manylinux2014 is better than nothing. Moreover, CentOS 6 and CentOS 5 on which those containers are based have already reached their EOL.
https://github.com/pypa/manylinux

[mblondel]

LGTM!

[StrikerRUS]

@mblondel Don't you mind creating a new release?

[mblondel]

@fabianp took care of the releases so far. Maybe he can give you the rights if you're ok to take care of the release this time.

[StrikerRUS]

I can trigger artifacts creation and prepare a GitHub release. One has to upload those files to PyPI.

[fabianp]

done :-) https://pypi.org/project/sklearn-contrib-lightning/0.6.1/

[StrikerRUS]

@fabianp Thank you so much!

I see you've successfully pushed new tag (0.6.1) and GitHub Actions uploaded all artifacts as expected.

https://github.com/scikit-learn-contrib/lightning/releases

One remained thing is to make created release publicly available (it is Draft and visible only by users with write access to the repo). I've just done it by clicking Edit -> Publish release.

Now it's marked as Latest release and looks like the following:

We can skip Draft state of new releases by modifying this line

lightning/.github/workflows/main.yml

Line 131 in 6e9afff

draft: true

But I find it useful to make sure that everything is OK and write some release notes before making release publicly visible.

Unfortunately, I see only archive with sources uploaded at PyPI.
https://pypi.org/project/sklearn-contrib-lightning/0.6.1/#files

This PR adds compilation of wheel files for all platforms and actual Python versions (refer also to #182 (comment) and #182 (comment)). Could you please upload wheel files as well (they are attached to the release)?

[StrikerRUS]

Gently ping @fabianp

[fabianp]

is there a way that I can download all those files at once?

…

On Wed, Jun 23, 2021 at 9:51 AM Nikita Titov ***@***.***> wrote: Gently ping @fabianp <https://github.com/fabianp> — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#184 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AACDZB7KCS37QJ55FB23A2TTUHRFHANCNFSM46IRSU4Q> .

[StrikerRUS]

@fabianp I don't know any way to do that. Seems there is no easy way: https://stackoverflow.com/a/35280061 (parse JSON file with links).
Just download them one by one.

[fabianp]

thanks, should be done now

…

On Sat, Jun 26, 2021 at 1:57 PM Nikita Titov ***@***.***> wrote: @fabianp <https://github.com/fabianp> I don't know any way to do that. Seems there is no *easy* way: https://stackoverflow.com/a/35280061 (parse JSON file with links). Just download them one by one. — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#184 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AACDZB77DHFSH2CIWRPM4ETTUYIJ3ANCNFSM46IRSU4Q> .

[StrikerRUS]

@fabianp Thank you so much!
I checked on my Windows machine - it downloads wheel file correctly and estimators that depend on cpp code work fine.

#>pip install sklearn-contrib-lightning
Collecting sklearn-contrib-lightning
  Downloading sklearn_contrib_lightning-0.6.1-cp38-cp38-win_amd64.whl (646 kB)
     |████████████████████████████████| 646 kB 3.3 MB/s
Requirement already satisfied: numpy in d:\miniconda3\lib\site-packages (from sklearn-contrib-lightning) (1.20.1)
Requirement already satisfied: scikit-learn in d:\miniconda3\lib\site-packages (from sklearn-contrib-lightning) (0.24.1)
Requirement already satisfied: joblib in d:\miniconda3\lib\site-packages (from sklearn-contrib-lightning) (1.0.1)
Requirement already satisfied: scipy in d:\miniconda3\lib\site-packages (from sklearn-contrib-lightning) (1.6.2)
Requirement already satisfied: threadpoolctl>=2.0.0 in d:\miniconda3\lib\site-packages (from scikit-learn->sklearn-contrib-lightning) (2.1.0)
Installing collected packages: sklearn-contrib-lightning
Successfully installed sklearn-contrib-lightning-0.6.1