[pymvpa] Fw: Hyperalignment

[Salim Al-wasity]

Hi SwaroopDo you mean like this:

Scenario-3-:new_ds_task=[ds_task[2], ds_task[0], ds_task[1], ds_task[3], ds_task[4], ds_task[5], ds_task[6], ds_task[7], ds_task[8], ds_task[9]]
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()

hypermaps=hyper(new_ds_h)ds_hyper = [ hypmaps[i].forward(d_all) for i, d_all in enumerate(new_ds_task)]



Same result as scenario 2, still different than scenario 1!.



Sent from Yahoo Mail on Android 
 
  On Thu, 1 Dec, 2016 at 12:55 am, Swaroop Guntupalli<swaroopgj at gmail.com> wrote:   

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

SincerelySalim

   
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