BTW, this is now stable to the URL
https://scikit-learn.org/stable/whats_new/v1.1.html#version-1-1-1 also
works :)
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Thank you to all the contributors who reported bugs, minimal
reproducers and fixes, and thank you Guillaume for getting this bugfix
release out so timely \o/
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Olivier
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scikit-learn 1.1.1 is out on pypi.org and conda-forge!
This is a small maintenance release that fixes a couple of regressions:
https://scikit-learn.org/dev/whats_new/v1.1.html#version-1-1-1
Notably, if you are using tree-based models (i.e. decision tree, random
forest, gradient boosting), we corr
Thanks Guillaume and Olivier for the quick feedback. There are enough
people on the fence in astropy that information like this is quite
valuable. If anyone is interested, here is the monster thread. ;-)
https://groups.google.com/g/astropy-dev/c/6cRJCMgaFyM
Best,
Tom
On Thu, May 19, 2022 at 7:5
I agree with Guillaume's answers.
I think it was a net benefit, even though it might be a bit annoying
to get the tooling right for first time contributors. We can probably
improve this by making the error messages on the CI more directive on
how to fix formatting issues by given copy-pastable com
I just answer in the text below. This is my 2c.
Hope this helps
Cheers,
On Wed, 18 May 2022 at 22:08, Tom Aldcroft wrote:
> Hi -
>
> The astropy core is currently considering implementing code formatting
> with black, much as scikit-learn did in 2020 (
> https://github.com/scikit-learn/scikit-
