2013/10/23 Sergio Rojas <[email protected]>: > Hello everyone, > > I was able to compile scikit-learn-0.14.1 with STATIC version of ATLAS using > the building command: > > python setup.py build_ext > --include-dirs='/home/myacct/myProg/NumLibs64b/include > / -L/home/srojas/myProg/NumLibs64b/lib -llapack -lcblas -lf77blas -latlas' > --inplace > > I should mention that I came up with this way to build scikit-learn after > installing mlpy > [http://mlpy.sourceforge.net/docs/3.5/install.html#installing-on-nix-from-source > ].
Interesting, thanks for the reference. > I am curious about the following: > > The pre-installation test > python nosetests sklearn/ > > ended with (FULL OUTPUT at [ https://gist.github.com/anonymous/7089302 ] ): > ... > ---------------------------------------------------------------------- > Ran 1860 tests in 137.411s > FAILED (SKIP=14, errors=1, failures=2) > > However, the post-installation test > nosetests --exe sklearn > > ended with (FULL OUTPUT at [ https://gist.github.com/anonymous/7124307 ] ): > ---------------------------------------------------------------------- > Ran 1720 tests in 148.112s > FAILED (SKIP=14, errors=1, failures=2) > > Should not be the same number of test run by both commands? Weird. I think we should include all the tests in the distribution. FYI: the test_image.py failures are known: they are caused by a change in recent versions of scipy (after 0.12). Nobody took the time to investigate though. AFAIK the bi-cluster test failure is unknown. I cannot reproduce it my self. which version of scipy are you using? > I executed successfully a few examples from the page > http://scikit-learn.org/stable/auto_examples/index.html > > Is there any other way to test the installation of this > module? 1700+ tests are not enough for you? :) -- Olivier ------------------------------------------------------------------------------ October Webinars: Code for Performance Free Intel webinars can help you accelerate application performance. Explore tips for MPI, OpenMP, advanced profiling, and more. Get the most from the latest Intel processors and coprocessors. See abstracts and register > http://pubads.g.doubleclick.net/gampad/clk?id=60135991&iu=/4140/ostg.clktrk _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
