Hi,
Astropy also got a (one time) credit, that we very quickly burned up. And
NumPy also got a credit, but I'm not sure whether it's also a one-off or a
monthly.
For astropy, our workaround is to run the tests on aarch64 and the other
more exotic hardware from a weekly cron, as each takes a very
Please help us test the first release candidate for scikit-learn 0.24.0:
pip install scikit-learn==0.24.0rc1
Changelog: https://scikit-learn.org/0.24/whats_new/v0.24.html
In particular, if you maintain a project with a dependency on
scikit-learn, please let us know about any regression.
Feel
Hello team,
What is the difference in the implementation of class_weight and sample_weight
in those algorithms that support both? like random forest or logistic
regression?
Are both modifying the loss function? in a similar way?
Thank you!
Sole___
s
Wow… what?! That's insane…
scikit-image got some credits (
https://github.com/scikit-image/scikit-image-wheels/pull/47#issuecomment-736760539)
without much issue… Maybe someone should reach out directly on this thread
to the travis people?
Cheers,
N
On Thu, 3 Dec 2020 at 11:37, Adrin wrote:
> I
I got a response from Travis, and according to this, we don't qualify for
the free credits:
The free plan will grant your organization 1 credits.
We offer an Open Source Subscription for free to non-commercial open-source
projects. To qualify for an Open Source subscription, the project must
ARM support
On Thu, 3 Dec 2020 at 01:37, Andreas C. Mueller
wrote:
> Sorry I'm probably missing some detail but what does travis provide that
> github actions and azure pipeline don't provide?
>
> -- Original Message --
> From: "Gael Varoquaux"
> To: "Scikit-learn mailing list"
> Sent:
