[pymvpa] Invariant features and hyperalignment
Beau R. Sievers
Beau.R.Sievers.GR at dartmouth.edu
Tue Jul 17 16:38:07 BST 2018
Hi PyMVPA world,
I am attempting searchlight hyperalignment, and I’m running into a problem with invariant features.
If I do _not_ remove invariant features from my datasets, I get an error when attempting to use an instance of SearchlightHyperalignment to calculate the maps: "ValueError: For now do not handle invariant in time datasets”
If I _do_ remove invariant features, I am able to calculate the maps, but when I call the .forward() method to map a dataset into the common space, I get a different error: "ValueError: dimension mismatch.” I presume (but cannot be sure) that this is related to the datasets now having different numbers of features.
Does anybody have experience with this issue or know what I might be doing wrong? This is using PyMVPA 2.6.3.dev1 (as installed on the “social cluster” at Dartmouth).
Thanks for your help,
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