I think you should submit these changes as a pull request. Thanks, Jared.
On 8 April 2016 at 21:17, Jared Gabor <jgabor.as...@gmail.com> wrote:
> I recently modified the kernel density estimation routines in
> sklearn/neighbors to include optional weighting of the training samples (to
> make analogs to weighted histograms). I'd be interested in contributing
> this to scikit-learn, but it's mostly edits of existing code (as opposed to
> new source files), and I'm not sure what's the policy in that case.
>
> Here's the code, which could use some more testing and validation (and
> documentation):
>
> https://github.com/jaredgabor/scikit-learn/tree/weighted_kde
>
> Thanks for any input,
> Jared Gabor
>
>
> ------------------------------------------------------------------------------
>
> _______________________________________________
> Scikit-learn-general mailing list
> Scikit-learn-general@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
>
>
------------------------------------------------------------------------------
Find and fix application performance issues faster with Applications Manager
Applications Manager provides deep performance insights into multiple tiers of
your business applications. It resolves application problems quickly and
reduces your MTTR. Get your free trial! http://pubads.g.doubleclick.net/
gampad/clk?id=1444514301&iu=/ca-pub-7940484522588532
_______________________________________________
Scikit-learn-general mailing list
Scikit-learn-general@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general