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we are trying to perform geodesic regression in Kendall shape space but encountered the issue that the current implementation is not compatible with autodiff functionality.
In particular, the align method in geomstats/geometry/pre_shape.py employs singular value decomposition for which autodiff fails if a full set of left/right singular vectors are requested.
However, providing the flag 'full_matrices=False' avoids this pitfall and should yield the same alignment.
We added the flag and, indeed, are now able to run regression.
We will submit the modified pre_shape.py along with our project s.t. it does not rely on short notice updates of geomstats.
Best regards,
Christoph
The text was updated successfully, but these errors were encountered:
Dear geomstats team,
we are trying to perform geodesic regression in Kendall shape space but encountered the issue that the current implementation is not compatible with autodiff functionality.
In particular, the align method in geomstats/geometry/pre_shape.py employs singular value decomposition for which autodiff fails if a full set of left/right singular vectors are requested.
However, providing the flag 'full_matrices=False' avoids this pitfall and should yield the same alignment.
We added the flag and, indeed, are now able to run regression.
We will submit the modified pre_shape.py along with our project s.t. it does not rely on short notice updates of geomstats.
Best regards,
Christoph
The text was updated successfully, but these errors were encountered: