[pymvpa] Fw: Hyperalignment

[Swaroop Guntupalli]

>
>
> I had 10 subjects whose Hyperalignment data are stored in (ds_h) and task
> data in (ds_task) which I am classifying
>
> Scenario-1-:
>
> hyper=Hyperalignment(ref_ds=2)
> hypermaps=hyper(ds_h)
> ds_hyper = [ hypmaps[i].forward(d_all) for i, d_all in enumerate(ds_task)]
> ..........Then continue with classification
>
>
> Scenario-2-:
> new_ds_h=[ds_h[2], ds_h[0], ds_h[1], ds_h[3], ds_h[4], ds_h[5], ds_h[6],
> ds_h[7], ds_h[8], ds_h[9]]
> hyper=Hyperalignment()
> hyper.train(new_ds_h)
>
hypermaps=hyper(ds_h)
>

Can you combine the above lines into one call and re-order the mappers and
see how it behaves?



> ds_hyper = [ hypmaps[i].forward(d_all) for i, d_all in enumerate(ds_task)]
> ..........Then continue with classification
>
>
> Sincerely
> Salim
>
>
>
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