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 the whole pydata stack, to be fair), the team in charge
of the event had printed a huge scikit-learn logo behind me:
https://twitter.com/GaelVaroquaux/status/1334959438059462659 (terrible
mobile-phone picture)
I would have liked to get a picture with the president and the logo, but
it seems that they are releasing only a handful of pictures :(. Anyhow...
Thanks to the community! This is a huge success. For health topics (we
are talking nationwide electronic health records) the ability to build on
an independent open-source stack is extremely important. We, as a wider
community, are building something priceless.
Cheers,
Gaël
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
