Re: [scikit-learn] Sprint discussion points?

2019-02-18 Thread Andreas Mueller




On 2/18/19 3:06 PM, Joel Nothman wrote:
And here I was thinking we'd better just push out 0.20.3 this week 
with what's been listed for it.



I wouldn't mind this, just don't expect me to help ;)
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Re: [scikit-learn] Sprint discussion points?

2019-02-18 Thread Joel Nothman
And here I was thinking we'd better just push out 0.20.3 this week with
what's been listed for it.
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Re: [scikit-learn] Sprint discussion points?

2019-02-18 Thread Hanmin Qin
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 
To: Scikit-learn mailing list 
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


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