[pymvpa] Fw: Hyperalignment

[Salim Al-wasity]

Hi SwaroopI checked the commonspace in both cases and it turns out that they are not identical, but almost equal as shown below. Therefore, the realigned task datasets (ds_task) are totally different in both scenarios.
>>> np.allcolse(hyper1.commonspace, hyper2.commonspace, rtol=1e-3)>>> True
>>> np.allcolse(hyper1.commonspace, hyper2.commonspace, rtol=1e-4)>>> False
>>> err=np.isclose(hyper1.commonspace, hyper2.commonspace, rtol=1e-4)>>> err.size-np.sum(err)>>> 8>>> err=np.isclose(hyper1.commonspace, hyper2.commonspace, rtol=1e-5)>>> err.size-np.sum(err)>>> 141>>> err=np.isclose(hyper1.commonspace, hyper2.commonspace, rtol=1e-6)>>> err.size-np.sum(err)>>> 1613



    On Thursday, 1 December 2016, 2:37, Swaroop Guntupalli <swaroopgj at gmail.com> wrote:
 

 Ok. Can you check if data in hyper.commonspace is the same after training in the two scenarios?

On Wed, Nov 30, 2016 at 8:08 PM, Salim Al-wasity <salim_alwasity at yahoo.com> wrote:

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

   
______________________________ _________________
Pkg-ExpPsy-PyMVPA mailing list
Pkg-ExpPsy-PyMVPA at lists. alioth.debian.org
http://lists.alioth.debian. org/cgi-bin/mailman/listinfo/ pkg-exppsy-pymvpa


  




   
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.alioth.debian.org/pipermail/pkg-exppsy-pymvpa/attachments/20161201/d1f5a450/attachment.html>