This is really awesome news! Thanks a lot to everyone developing scikit-learn.
I am just wrapping up another successful semester, teaching students ML basics.
Most coming from an R background, they really loved scikit-learn and
appreciated it's ease of use and well-thought-out API.
Best,
Sebast
Amazing, inspiring! Kudos to the sklearn team.
On Sat, Dec 5, 2020, 4:30 AM Gael Varoquaux
wrote:
> Hi scikit-learn community,
>
> Today, I presented some efforts in digital health to the French president
> and part of the government. As these efforts were partly powered by
> scikit-learn (and t
Thank you guys! very helpful :)
Soledad Galli
https://www.trainindata.com/
‐‐‐ Original Message ‐‐‐
On Friday, December 4, 2020 12:06 PM, mrschots wrote:
> I have been using both in time-series classification. I put a exponential
> decay in sample_weights AND class weights as a diction
