[pymvpa] ideas for contribution

[Yaroslav Halchenko]

On Mon, 14 Mar 2016, H. Y. Chan wrote:
>    I've just finished recently porting the Matlab codes of a non-parametric
>    ICA procedure (see http://dx.doi.org/10.1016/j.neuron.2015.11.035) to
>    Python and wonder if you'd like to fit that into your package.

sure -- sounds interesting.  I am a bit wary about the new numerical
methods though which were introduced without proper independent (of
specific application) analysis and comparison to other existing ones
(e.g. to FastICA they reference).  But I guess it would be only of
benefit (at least for replication ;)) to include this one in PyMVPA.  I
guess it would need to come as a Mapper akin to SVDMapper

>    Also, I'd suggest adding Kendall tau correlation as additional option in
>    RSA (jerry-rigged it myself but it'd be nice to incorporate it
>    officially).

I guess we should just use scipy/stats/stats.py:kendaltau implementation
and indeed expose it in RSA... should just rank order data first, if I got it
right. correct?

>    Let me know how I can contribute. 

Sure!  e.g. you could start with a PR for that ICA mapper.  The only
thing is that we would need tests to verify its correct (according to
some assumptions ;) ) operation

>  Again, thanks for all the efforts that     go to the toolbox!

Thank you for seeking contribution to it!
-- 
Yaroslav O. Halchenko
Center for Open Neuroscience     http://centerforopenneuroscience.org
Dartmouth College, 419 Moore Hall, Hinman Box 6207, Hanover, NH 03755
Phone: +1 (603) 646-9834                       Fax: +1 (603) 646-1419
WWW:   http://www.linkedin.com/in/yarik