Maybe it's worthwhile to discuss (and release) 0.20.3 during the sprint. We're almost ready except for a few test failures on specific platforms. I've labeled all the related PRs (i.e., PRs with a what's new entry in 0.20.3) as 0.20.3. We need to decide whether we want to backport more bug fixes (maybe more doc/example corrections) to 0.20.3. Joel mentions this several times but seems that he hasn't made the decision. I tend to do so, though technically we should only include bug fixes related to features introduced in 0.20.X (but I won't argue if someone make the decision). Some bugs seems not trivial (e.g., #13142 related to BaseMixture and #13124 related to StratifiedKFold).
Hanmin Qin ----- Original Message ----- From: Olivier Grisel <olivier.gri...@ensta.org> To: Scikit-learn mailing list <scikit-learn@python.org> Subject: Re: [scikit-learn] Sprint discussion points? Date: 2019-02-15 23:06 I would also add generalizing early stopping options to most estimators. This is a bit related to Joel's point on max_iter consistency in LogisticRegression. -- Olivier _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
_______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
