[pymvpa] Searchlight training and testing with different sets of data

[Richard Dinga]

You can just do the same search light crossvalidation as is showed in the
tutorial or example scripts, but combine your two datasets to one and make
data set A be partition 1 and dataset B partition 2 and don't use
postproc=mean_sample() argument.

On Fri, Jan 22, 2016 at 7:15 PM, Alyson Saenz <neuro.alyson at gmail.com>
wrote:

> Hey guys!
>
> I'm having a hard time on an analysis and I was hoping you can help me (my
> thesis depends on it!).
>
> I have two sets of data, A and B. I would like to run a searchlight
> analysis with A and testing with B. Is there a way to do it? So far I
> already have them in two different ds.
>
> I'm sorry if it is an stupid question, I don't have that much experience
> programming.
>
>
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