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

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