>> Work in a branch, as soon as you have something working (e.g.
>>reproduce some paper results in an example script) with all the tests
>>that pass on your box, don't hesitate to issue a pull request with a
>>[WIP] tag in the title (Work In Progress) to get some early feedback.
>>Please do not forget to follow carefully the instructions from:
>>http://scikit-learn.org/stable/developers/<http://scikit-learn.org/stable/developers/>
>>If you have specific questions you can use the mailing list.
Thanks a lot for your response
On Mon, Jan 20, 2014 at 10:43 AM, Olivier Grisel
<[email protected]>wrote:
> 2014/1/19 magellane a <[email protected]>:
> > Hi
> > I was interested in the implementation of stacking ensemble
> meta-estimator
> > for the scikit-learn project, and as suggested by a previous email on the
> > mailing list I've gone through the source-code of scikit-learn in general
> > and the source code of ensemble methods in specific.
> > I want to start working on it, but I'm not sure of the details of the
> > process you use in contributing scikit-learn:
> > shall I first provide an implementation as pull request and then I can
> > discuss it here, like how to enhance and modify to comply to the
> standards
> > of the project ?
> > Or shall I begin by discussing the various parts of the implementation -
> on
> > the mailing list or with maintainers of the project - prior to working
> on it
> > ?
>
> Work in a branch, as soon as you have something working (e.g.
> reproduce some paper results in an example script) with all the tests
> that pass on your box, don't hesitate to issue a pull request with a
> [WIP] tag in the title (Work In Progress) to get some early feedback.
> Please do not forget to follow carefully the instructions from:
>
> http://scikit-learn.org/stable/developers/
>
> If you have specific questions you can use the mailing list.
>
> --
> Olivier
> http://twitter.com/ogrisel - http://github.com/ogrisel
>
>
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