Hi everyone,
I'm using OrthogonalMatchingPursuit to get a sparse coding of a signal
using a dictionary learned by a KSVD algorithm (pyksvd). However, during
the fit I get the following RuntimeWarning:
/usr/local/lib/python2.7/dist-packages/sklearn/linear_model/omp.py:391:
RuntimeWarning: Orthogonal matching pursuit ended prematurely due to
linear dependence in the dictionary. The requested precision might not
have been met.
copy_X=copy_X, return_path=return_path)
In those cases the results are indeed not satisfactory. I don't get the
point of this warning as it is common in sparse coding to have an
overcomplete dictionary an thus also linear dependency within it. That
should not be an issue for OMP. In fact, the warning is also raised if
the dictionary is a square matrix.
Might this Warning also point to other issues in the application?
Thanks, Ben
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