[zeec123]

There is so much wrong with the api design of sklearn (how can one think "predict_proba" is a good function name?). I can understand this, since most of it was probably written by PhD students without the time and expertise to come up with a proper api; many of them without a CS background.[1]

[1] https://www.reddit.com/r/haskell/comments/7brsuu/machine_lea...

[kzrdude]

These seem like minor gripes (reading your link) - and I don't even agree with them, seems like an ok use of mutable state (otherwise a separate object would be needed for hyperparameter state?). Maybe my expectations are low, but they way sklearn unifies the API across different estimators all across the library - that's already way above what you can expect - especially if you consider it to be "written by a bunch of phd students".

[mrtranscendence]

I didn't want to bag on sklearn (I've already bagged on pandas enough here), but for what it's worth I agree with you. It's, ahh, not the API I would've come up with. It's what everybody has standardized on, though, and maybe there's some value in that.