Description
======================================================================
FAIL: sklearn.linear_model.tests.test_logistic.test_logreg_l1_sparse_data
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/travis/build/MacPython/scikit-learn-wheels/venv/lib/python3.6/site-packages/nose/case.py", line 198, in runTest
self.test(*self.arg)
File "/Users/travis/build/MacPython/scikit-learn-wheels/venv/lib/python3.6/site-packages/sklearn/linear_model/tests/test_logistic.py", line 961, in test_logreg_l1_sparse_data
assert_array_almost_equal(lr_saga.coef_, lr_liblinear.coef_)
File "/Users/travis/build/MacPython/scikit-learn-wheels/venv/lib/python3.6/site-packages/numpy/testing/utils.py", line 962, in assert_array_almost_equal
precision=decimal)
File "/Users/travis/build/MacPython/scikit-learn-wheels/venv/lib/python3.6/site-packages/numpy/testing/utils.py", line 778, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Arrays are not almost equal to 6 decimals
(mismatch 64.0%)
x: array([[ -128.209824, -990.760917, 0. , 0. ,
0. , 783.90525 , 1345.642841, 0. ,
34.880916, -287.813868, -364.684306, -668.47532 ,...
y: array([[-0.764085, -0.29863 , 0. , 0.269297, 0. , 0.
6FC7
,
2.629204, 0. , 0. , 0. , -0.450364, -0.61554 ,
0. , -0.262512, 0.161514, 0. , 0.314769, 0. ,...
======================================================================
FAIL: sklearn.linear_model.tests.test_logistic.test_saga_vs_liblinear
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/travis/build/MacPython/scikit-learn-wheels/venv/lib/python3.6/site-packages/nose/case.py", line 198, in runTest
self.test(*self.arg)
File "/Users/travis/build/MacPython/scikit-learn-wheels/venv/lib/python3.6/site-packages/sklearn/linear_model/tests/test_logistic.py", line 1144, in test_saga_vs_liblinear
assert_array_almost_equal(saga.coef_, liblinear.coef_, 3)
File "/Users/travis/build/MacPython/scikit-learn-wheels/venv/lib/python3.6/site-packages/numpy/testing/utils.py", line 962, in assert_array_almost_equal
precision=decimal)
File "/Users/travis/build/MacPython/scikit-learn-wheels/venv/lib/python3.6/site-packages/numpy/testing/utils.py", line 778, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Arrays are not almost equal to 3 decimals
(mismatch 100.0%)
x: array([[ -105.601, -1199.326, 2377.574, 479.408]])
y: array([[ 0. , -1.06 , 1.222, 0. ]])
numpy and scipy are imported from the following wheels from PyPI:
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numpy-1.11.3-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (at buil time)
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numpy-1.13.1-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (at test time)
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scipy-0.19.1-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
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Cython-0.25.2-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
The full log of the build is here:
The configuration scripts of this build and test run can be found here:
https://github.com/MacPython/scikit-learn-wheels
A similar problem happened with Python 2.7 on macOS:
https://travis-ci.org/MacPython/scikit-learn-wheels/jobs/253231277
but not with python 3.4 for some reason:
https://travis-ci.org/MacPython/scikit-learn-wheels/builds/253231260
The same tests pass under Linux and Windows both 64 and 32 bit for all supported versions of Python.
Maybe this is a problem caused by the Apple Accelerate implementation of BLAS.