SKADA is a beautiful software for Domain Adaptation in python with many shallow and deep methods implemented, it is 100% compatible with @scikit-learn.org models and pipelines and with @pytorch.org for deep learning methods.
Looking forward to meeting you there, exchanging with experts of all the fields of data science, learning more about your use cases and collecting feedback for the future developments of our library and related projects!
🎉 Scikit-learn 1.9 released:
■Solid improvements to many existing estimators: faster, more stable, handling missing values, adding GPU support…
■Also, enhanced estimator displays in notebooks,
■And callbacks that enable progress bars or monitoring of convergence
blog.scikit-learn.org/updates/rele...
I recently shared some of my reflections on how to use probabilistic classifiers for optimal decision-making under uncertainty at @pydataparis.bsky.social 2024.
Here is the recording of the presentation:
www.youtube.com/watch?v=-gYn...
Have you ever wanted to unpickle a @scikit-learn.bsky.social model you trained with version X while using a newer version X+1? If yes, why? When? How? I'd be interested to hear about your use cases to see if we can make it less painful