[pymvpa] Pkg-ExpPsy-PyMVPA Digest, Vol 44, Issue 14

[Matthias Ekman]

Thanks a lot!

> in mvpa2 you would need to use something more than Sphere.  Sphere is
> just defining what kind of neighborhood you are seeking for.  But
> classes of QueryEngine's are there to do actual job given a specific
> dataset. e.g. here is one of the examples from the
> mvpa2/tests/test_neighborhood.py
>
> which would have more.  Here is one demonstrating somewhat having
> spatio-temporal neighborhood search
>
>      sphere = ne.Sphere(1)
>      ds = Dataset([data, data], fa={'s_ind': np.concatenate((ind, ind)),
>                                     't_ind': np.repeat([0,1], 27)})
>      qe = ne.IndexQueryEngine(s_ind=sphere, t_ind=None)
>      qe.train(ds)
>      qa[1]  would return neighbors for feature 1 (in space and all in time since t_ind=None in above)
>
> helps?
>