Comments (12)
+1
Thanks for tackling and this!
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I created the maintenance branch 0.1.X and bumped the version number on master to 0.2.dev0
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My intention is to only incorporate bug fixes into 0.1.X and make a release next week.
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The pypi website is up: https://pypi.python.org/pypi/sklearn-contrib-lightning and there are conda packages for most systems: https://anaconda.org/scikit-learn-contrib/lightning/files
Lets test them a bit and make the announcement within the next days.
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(appveyor is slowly uploading the windows packages)
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Lets test them a bit and make the announcement within the next days.
Great! I guess we can announce it on the scikit-learn mailing-list and on Twitter.
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It all looks good to me. I'll let you do the announcement whenever you feel its ready.
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Just chiming in to confirm I successfully installed from conda on ubuntu
over here, and all tests pass.
On Thu, Mar 24, 2016 at 8:58 AM, Fabian Pedregosa [email protected]
wrote:
It all looks good to me. I'll let you do the announcement whenever you
feel its ready.—
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#61 (comment)
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Thanks Vlad!
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Also confirmed on Windows 10 with conda and python3.5. It literally took me
5 minutes to set it up from scratch, the future is truly now :)
Thanks a lot for your work on this, Fabian!!
On Thu, Mar 24, 2016 at 9:28 AM, Fabian Pedregosa [email protected]
wrote:
Thanks Vlad!
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#61 (comment)
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@fabianp I think you should really be the one doing the announcement, since you did all the job.
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@fabianp When you get time, could you document in project-template the steps you went through for the release? This would be useful to the @scikit-learn-contrib/py-earth guys.
Also I wonder how much we can automate the process. The dream would be to have a script in project-template that does everything for us :)
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Related Issues (20)
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- Does lightning natively support multi-label HOT 1
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- Why not initialize SAG/SAGA memory with 0 and divide by seen indices so far as in sklearn?
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