Hey Albrecht.
By the way, don't hesitate to ask questions at the issues
if you are unsure on how to address them or how to choose one.
Feedback on the issue-tracker is often near real-time.
Cheers,
Andy
On 09/03/2012 02:09 AM, Analytic Bastard wrote:
Thanks Olivier,
I'll have a look at the URLs you gave me and comment again at some
more godly hours!
Good night!
2012/9/3 Olivier Grisel <[email protected]
<mailto:[email protected]>>
2012/9/3 Analytic Bastard <[email protected]
<mailto:[email protected]>>:
> Hi Olivier,
>
> Yes that is the coefficient/statistic. Fukumizu, Gretton and
coworkers also
> have one based on RKHS covariance operators.
>
> It would be useful to test whether any classification or
regression problem
> can be tractable. After all, if two variables are independent,
it won't be
> possible to try to classify or do regression with them.
>
> In any case, I am willing to implement any desired feature that
is already
> listed.
You can have a look at:
https://github.com/scikit-learn/scikit-learn/issues
in particular:
https://github.com/scikit-learn/scikit-learn/issues?labels=Easy&page=1&state=open
Also it is always appreciate to get more people reviewing / commenting
existing pull requests:
https://github.com/scikit-learn/scikit-learn/pulls
It's a good way to get started with the sklearn code base and how the
contribution process work in practice.
If you plan to start contributing on one of the issues or the distance
correlation stuff, please start by reading:
http://scikit-learn.org/dev/developers/index.html
Best,
--
Olivier
http://twitter.com/ogrisel - http://github.com/ogrisel
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