Thanks, Olivier. We will try adding examples to show how it can be used in
conjunction with sklearn to generate confidence intervals on linear model
parameters, as well as prediction intervals for other classes of models.
On Thu, Sep 20, 2018, 11:55 AM Olivier Grisel
wrote:
> I believe it would
I believe it would fit in sklearn-contrib even if it's more for statistical
inference rather than machine learning style prediction.
Others might disagree.
Anyways, joining efforts to improve documentation, CI, testing and so on is
always a good thing for your future users.
--
Olivier
Olivier,
I got in touch with Constantine from the scikits-bootstrap package and he's
interested in merging the two projects. If we were to get some
documentation together, do you feel that there is potential for inclusion
as an sklearn-contrib package? I believe we would have most of the other
Hello!
> Any help would certainly be welcome, no matter how slow. I appreciate the
> interest.
>
That sound interest!
If you need help, let me know! I would be happy to help
Regards!
Emmanuel
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J.B.,
Any help would certainly be welcome, no matter how slow. I appreciate the
interest.
Thanks,
Daniel
On Tue, Sep 18, 2018, 8:47 AM Brown J.B. via scikit-learn <
scikit-learn@python.org> wrote:
> Resampling is a very important interesting contribution which relates very
> closely to my
Resampling is a very important interesting contribution which relates very
closely to my primary research in applied ML for chemical development.
I'd be very interested in contributing documentation and learning new
things along the way, but I potentially would be perceived as slow because
of
Great, I went ahead and contacted Constantine. Documentation was actually
the next thing that I wanted to work on, so hopefully he and I can put
something together.
Thanks for the help.
On Tue, Sep 18, 2018 at 2:42 AM Olivier Grisel
wrote:
> This looks like a very useful project.
>
> There is
This looks like a very useful project.
There is also scikits-bootstraps [1]. Personally I prefer the flat package
namespace of resample (I am not a fan of the 'scikits' namespace package)
but I still think it would be great to contact the author to know if he
would be interested in joining
Hi all,
As everyone knows sklearn is excellent for building predictive models, but
an area where I believe there is still work to be done is in coming up with
measurements for the inherent uncertainties in those models. (That there
is an appetite for this is I believe evidenced by the rise in
