Hi Roberto, Does it occur in ProcrusteanMapper? This error might be due to one of your datasets being invariant in time. Make sure the variance is non-zero for all of your voxels in all datasets. If not, remove those voxels (remove_invariant_features?) and re-run the hyperalignment.
Best, Swaroop On Mon, Jul 1, 2013 at 9:16 AM, Roberto Guidotti <[email protected]> wrote: > Hi all, > > I would like to run HyperAlignment algorithm using my dataset, but when I > try to run from example > > hypmaps = hyper(my_ds_train) > > I have the following exception > > ValueError: For now do not handle invariant in time datasets > > My (light version of) dataset is composed by 5 subject fMRI. I have > inspected your hyperalignment dataset and there are different information > about time_indices and time_coords and I have a simple block designed > experiments. > Are these the causes of the problem? > > Thank you > Roberto > > _______________________________________________ > Pkg-ExpPsy-PyMVPA mailing list > [email protected] > http://lists.alioth.debian.org/cgi-bin/mailman/listinfo/pkg-exppsy-pymvpa _______________________________________________ Pkg-ExpPsy-PyMVPA mailing list [email protected] http://lists.alioth.debian.org/cgi-bin/mailman/listinfo/pkg-exppsy-pymvpa
