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
].
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?
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?
Sergio
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