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
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
fore at timely reviewing of a PR for multi-metric
> optimization for 0.19.)
> If still acceptable, please let me know, and I'm happy to try to help.
>
> J.B.
>
>
> 2018年9月18日(火) 20:37 Daniel Saxton :
>
>> Great, I went ahead and contacted Constantine. Documentation was
&
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
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
