scikit-learn
@scikit-learn.org
Machine learning in Python • Open Source
https://scikit-learn.org
https://scikit-learn.org
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!
September 26, 2025 at 8:53 AM
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!
There is still time to grab a seat to attend the main conference talks and maybe even present a lightning talk ;)
We will also participate in the sprint day on Thursday the 2nd, but unfortunately that day has limited seats and there is already a growing dedicated waitlist.
We will also participate in the sprint day on Thursday the 2nd, but unfortunately that day has limited seats and there is already a growing dedicated waitlist.
September 26, 2025 at 8:53 AM
There is still time to grab a seat to attend the main conference talks and maybe even present a lightning talk ;)
We will also participate in the sprint day on Thursday the 2nd, but unfortunately that day has limited seats and there is already a growing dedicated waitlist.
We will also participate in the sprint day on Thursday the 2nd, but unfortunately that day has limited seats and there is already a growing dedicated waitlist.
Reposted by scikit-learn
We are working on a small package to ease developer life: github.com/glemaitre/sk.... The idea is that recurrent work could be centralized in a single package. Once we have a minimal version, we will do a first release to support scikit-learn 1.2 to 1.6
GitHub - glemaitre/sklearn-compat
Contribute to glemaitre/sklearn-compat development by creating an account on GitHub.
github.com
November 28, 2024 at 11:17 AM
We are working on a small package to ease developer life: github.com/glemaitre/sk.... The idea is that recurrent work could be centralized in a single package. Once we have a minimal version, we will do a first release to support scikit-learn 1.2 to 1.6
Reposted by scikit-learn
3rd-party library maintainers might find it cumbersome to handle the transition to the new estimator tags while keeping backward compatibility with older scikit-learn versions. We will devise a way to smooth out the transition before releasing 1.6.0 final:
github.com/scikit-learn...
github.com/scikit-learn...
Estimator creating `_more_tags` and inheriting from `BaseEstimator` will not warn about old tag infrastructure · Issue #30257 · scikit-learn/scikit-learn
While making the code of skrub compatible with scikit-learn 1.6, I found that the following is really surprising: # %% import numpy as np from sklearn.base import BaseEstimator, RegressorMixin clas...
github.com
November 22, 2024 at 5:12 PM
3rd-party library maintainers might find it cumbersome to handle the transition to the new estimator tags while keeping backward compatibility with older scikit-learn versions. We will devise a way to smooth out the transition before releasing 1.6.0 final:
github.com/scikit-learn...
github.com/scikit-learn...