I agree with most of their points and have tried to prioritize some (and
I think you were the victim of me trying to address some of these ;).
The question about structuring the estimators is really something
tricky. Maybe it's worth putting it on the roadmap to discuss this at
some point?
Generally I thought it would be too much a hassle but the inconsistency
is kind of annoying (having a class per loss or per regularizer or per
solver sometimes).
On 2/19/19 5:56 AM, Nicolas Hug wrote:
Hi everyone,
I stumbled upon this reddit thread [1] where people point out what
they dislike about the scikit-learn API. It's mostly about the lack of
consistency for linear models. Just thought it'd be interesting to
have some external critics.
Best,
Nicolas
[1]
https://www.reddit.com/r/MachineLearning/comments/aryjif/d_alternatives_to_scikitlearn/
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