[pymvpa] Cross Decoding + HyperAlignment

Roberto Guidotti robbenson18 at gmail.com
Tue Jul 2 15:12:24 UTC 2013

Hi all,

I'm trying to figure out a problem about HyperAlignment.
As explained HyperAlignment tries to align brain trajectories in a common
representation space.
Now I'd like to use in combination hyperalignment and cross decoding, thus
training a classifier with hyperaligned data and then use it with other
(hyperaligned) data.
The main issue is that using the manual cross validation, as in the
example, I will have n_fold hyperalignment functions and n_fold cross
decoding predictions while I would like to have an hyperalignment function
and a single list of predictions.
Using hyperalignment with full dataset lead to circularity because I need
also to estimate hyperalignment classification accuracy.

Is there a way to cross validate hyperalignment parameter as for
classification tasks?

Or the question is theoretically impossible?

Thank you
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