OpenBLAS 0.2.18 has been released yesterday with many fixes several bugs found via testing the scipy stack on:
https://build.openblas.net/ Matthew Brett did a full-rebuild of BLAS dependent projects (including numpy, scipy and scikit-learn) and the resulting wheels are being uploaded to PyPI. On most Linux distros you can now already do: python -m pip install --upgrade pip # to upgrade to 8.1 or later python -m pip install numpy scipy scikit-learn And get the stack installed with an optimized BLAS/LAPACK without having to compile anything. Next I will work on updating our CI configuration to build and test those wheels on our master branch and for future release tags. Best, -- Olivier ------------------------------------------------------------------------------ Find and fix application performance issues faster with Applications Manager Applications Manager provides deep performance insights into multiple tiers of your business applications. It resolves application problems quickly and reduces your MTTR. Get your free trial! https://ad.doubleclick.net/ddm/clk/302982198;130105516;z _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
