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which means we have to find a work-around. For linux distribution, this means exposing the BLAS functionality through scikit-umfpack and a simple pip install of this will fix this here. Windows however is a different beast and scikit-umfpack only works on python 3.6 or earlier
The last link points to an alternative solution in using pypardiso4py, but as is clarely stated on this page, this is an anaconda envorement solution only, and it will not work in combination with pip.
The text was updated successfully, but these errors were encountered:
At least it throws a million warnings. This boils down to
BLAS error using scipy.sparse.linalg.spsolve on csr-format matrix
which means we have to find a work-around. For linux distribution, this means exposing the BLAS functionality through
scikit-umfpack
and a simplepip install
of this will fix this here. Windows however is a different beast and scikit-umfpack only works on python 3.6 or earlierThe last link points to an alternative solution in using pypardiso4py, but as is clarely stated on this page, this is an anaconda envorement solution only, and it will not work in combination with pip.
The text was updated successfully, but these errors were encountered: