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Last active December 21, 2015 12:29
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Warning messages display by 'nosetests sklearn' on experimental wheel packages for OSX 10.8
(ogrisel27-2)192-168-1-7:~ aaroniles$ nosetests sklearn
/Users/aaroniles/.virtualenvs/ogrisel27-2/lib/python2.7/site-packages/sklearn/pls.py:7: DeprecationWarning: This module has been moved to cross_decomposition and will be removed in 0.16
"removed in 0.16", DeprecationWarning)
......./Users/aaroniles/.virtualenvs/ogrisel27-2/lib/python2.7/site-packages/scipy/sparse/linalg/eigen/arpack/arpack.py:1664: RuntimeWarning: invalid value encountered in sqrt
s = np.sqrt(eigvals)
...........................S.........................................../Users/aaroniles/.virtualenvs/ogrisel27-2/lib/python2.7/site-packages/sklearn/manifold/spectral_embedding_.py:226: UserWarning: Graph is not fully connected, spectral embedding may not work as expected.
warnings.warn("Graph is not fully connected, spectral embedding"
......./Users/aaroniles/.virtualenvs/ogrisel27-2/lib/python2.7/site-packages/sklearn/covariance/graph_lasso_.py:193: RuntimeWarning: invalid value encountered in multiply
* coefs)
/Users/aaroniles/.virtualenvs/ogrisel27-2/lib/python2.7/site-packages/sklearn/covariance/graph_lasso_.py:195: RuntimeWarning: invalid value encountered in multiply
* coefs)
....SS...../Users/aaroniles/.virtualenvs/ogrisel27-2/lib/python2.7/site-packages/sklearn/datasets/tests/test_base.py:118: UserWarning: Could not load sample images, PIL is not available.
warnings.warn("Could not load sample images, PIL is not available.")
.../Users/aaroniles/.virtualenvs/ogrisel27-2/lib/python2.7/site-packages/sklearn/datasets/tests/test_base.py:139: UserWarning: Could not load sample images, PIL is not available.
warnings.warn("Could not load sample images, PIL is not available.")
./Users/aaroniles/.virtualenvs/ogrisel27-2/lib/python2.7/site-packages/sklearn/datasets/tests/test_base.py:155: UserWarning: Could not load sample images, PIL is not available.
warnings.warn("Could not load sample images, PIL is not available.")
.....SS....................................................S........./Users/aaroniles/.virtualenvs/ogrisel27-2/lib/python2.7/site-packages/sklearn/decomposition/fastica_.py:269: UserWarning: Ignoring n_components with whiten=False.
warnings.warn('Ignoring n_components with whiten=False.')
.............................................../Users/aaroniles/.virtualenvs/ogrisel27-2/lib/python2.7/site-packages/sklearn/decomposition/dict_learning.py:110: DeprecationWarning: coef_init is now ignored and will be removed in 0.15. See enet_path function.
clf.fit(dictionary.T, X.T, coef_init=init)
/Users/aaroniles/.virtualenvs/ogrisel27-2/lib/python2.7/site-packages/sklearn/decomposition/dict_learning.py:110: DeprecationWarning: coef_init is now ignored and will be removed in 0.15. See enet_path function.
clf.fit(dictionary.T, X.T, coef_init=init)
/Users/aaroniles/.virtualenvs/ogrisel27-2/lib/python2.7/site-packages/sklearn/decomposition/dict_learning.py:110: DeprecationWarning: coef_init is now ignored and will be removed in 0.15. See enet_path function.
clf.fit(dictionary.T, X.T, coef_init=init)
/Users/aaroniles/.virtualenvs/ogrisel27-2/lib/python2.7/site-packages/sklearn/decomposition/dict_learning.py:110: DeprecationWarning: coef_init is now ignored and will be removed in 0.15. See enet_path function.
clf.fit(dictionary.T, X.T, coef_init=init)
../Users/aaroniles/.virtualenvs/ogrisel27-2/lib/python2.7/site-packages/sklearn/decomposition/dict_learning.py:110: DeprecationWarning: coef_init is now ignored and will be removed in 0.15. See enet_path function.
clf.fit(dictionary.T, X.T, coef_init=init)
/Users/aaroniles/.virtualenvs/ogrisel27-2/lib/python2.7/site-packages/sklearn/decomposition/dict_learning.py:110: DeprecationWarning: coef_init is now ignored and will be removed in 0.15. See enet_path function.
clf.fit(dictionary.T, X.T, coef_init=init)
/Users/aaroniles/.virtualenvs/ogrisel27-2/lib/python2.7/site-packages/sklearn/decomposition/dict_learning.py:110: DeprecationWarning: coef_init is now ignored and will be removed in 0.15. See enet_path function.
clf.fit(dictionary.T, X.T, coef_init=init)
/Users/aaroniles/.virtualenvs/ogrisel27-2/lib/python2.7/site-packages/sklearn/decomposition/dict_learning.py:110: DeprecationWarning: coef_init is now ignored and will be removed in 0.15. See enet_path function.
clf.fit(dictionary.T, X.T, coef_init=init)
/Users/aaroniles/.virtualenvs/ogrisel27-2/lib/python2.7/site-packages/sklearn/decomposition/dict_learning.py:110: DeprecationWarning: coef_init is now ignored and will be removed in 0.15. See enet_path function.
clf.fit(dictionary.T, X.T, coef_init=init)
...S........................................................SSS................................/Users/aaroniles/.virtualenvs/ogrisel27-2/lib/python2.7/site-packages/sklearn/externals/joblib/test/test_func_inspect.py:122: UserWarning: Cannot inspect object <functools.partial object at 0x1043bc8e8>, ignore list will not work.
nose.tools.assert_equal(filter_args(ff, ['y'], (1, )),
...................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................S........................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................SSS....S....S..................................................................................................................
----------------------------------------------------------------------
Ran 1715 tests in 153.569s
OK (SKIP=16)
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