#cblas

If you have your own copies of BLAS and CBLAS installed as shared libraries, the default build of scikit-learn may end up not finding libblas.so which libcblas.so depends on. You may, when doing "from sklearn import svm",  get an error like: from . import libsvm, liblinearImportError: /usr/local/blas/lib64/libcblas.so: undefined symbol: cgemv_ To fix it, modify the private _build_utils module: http://bit.ly/2fQOcRS --- __init__.py.orig    2016-11-08 16:19:49.920389034 -0500 +++ __init__.py 2016-11-08 15:58:42.456085829 -0500 @@ -27,7 +27,7 @@      blas_info = get_info('blas_opt', 0)      if (not blas_info) or atlas_not_found(blas_info): -        cblas_libs = ['cblas'] +        cblas_libs = ['cblas', 'blas']          blas_info.pop('libraries', None)      else:          cblas_libs = blas_info.pop('libraries', [])