Hi,
I'm looking at the build of scikit-learn for guidance on some
statsmodels improvements, and I'm wondering about this in the
setup.py. What could this do?
from numpy.distutils.system_info import get_info
blas_info = get_info('blas_opt', 0)
blas_info.get('define_macros')
My numpy is linked against openblas, and I don't have a
'define_macros' key, so I don't know.
Is it always the case then that scikit-learn links against the
included reference BLAS if the above fails. Is there some other way to
specify the source of local optimized BLAS headers and libraries?
Thanks,
Skipper
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