Mmmm... if calibration seems to be a good fit for sklearn, I'll try to
review the different existing approaches and see if it's difficult to
implement the most useful/popular one(s).
Any hint on that ? is isotonic regression the most used form or should we
have a look on other well-known techniques ?
E/
2013/12/13 Alexandre Gramfort <alexandre.gramf...@telecom-paristech.fr>
> > I don't know if Alex will have time to work on it in the near future.
>
> unlikely... sadly...
>
> any help very welcome.
>
> Alex
>
>
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