scikit_learn_output_post-installation_test.txt

nosetests --exe sklearn
/home/myacct/myProg/Python273GNU/Linux64b/lib/python2.7/site-packages/sklearn/pl
s.py:7: DeprecationWarning: This module has been moved to cross_decomposition an
d will be removed in 0.16
  "removed in 0.16", DeprecationWarning)
......./home/myacct/myProg/Python273GNU/Linux64b/lib/python2.7/site-packages/sci
py/sparse/linalg/eigen/arpack/arpack.py:1652: RuntimeWarning: invalid value enco
untered in sqrt
  s = np.sqrt(eigvals)
..../home/myacct/myProg/Python273GNU/Linux64b/lib/python2.7/site-packages/scipy/
sparse/compressed.py:209: SparseEfficiencyWarning: Comparing a sparse matrix wit
h a nonzero scalar using != is inefficient, try using == instead.
  " is inefficient, try using == instead.", SparseEfficiencyWarning)
E................................................................../home/myacct/
myProg/Python273GNU/Linux64b/lib/python2.7/site-packages/sklearn/manifold/spectr
al_embedding_.py:226: UserWarning: Graph is not fully connected, spectral embedd
ing may not work as expected.
  warnings.warn("Graph is not fully connected, spectral embedding"
......./home/myacct/myProg/Python273GNU/Linux64b/lib/python2.7/site-packages/skl
earn/covariance/graph_lasso_.py:193: RuntimeWarning: invalid value encountered i
n multiply
  * coefs)
/home/myacct/myProg/Python273GNU/Linux64b/lib/python2.7/site-packages/sklearn/co
variance/graph_lasso_.py:195: RuntimeWarning: invalid value encountered in multi
ply
  * coefs)
/home/myacct/myProg/Python273GNU/Linux64b/lib/python2.7/site-packages/sklearn/co
variance/graph_lasso_.py:46: RuntimeWarning: invalid value encountered in absolu
te
  gap += alpha * (np.abs(precision_).sum()
/home/myacct/myProg/Python273GNU/Linux64b/lib/python2.7/site-packages/sklearn/co
variance/graph_lasso_.py:47: RuntimeWarning: invalid value encountered in absolu
te
  - np.abs(np.diag(precision_)).sum())
/home/myacct/myProg/Python273GNU/Linux64b/lib/python2.7/site-packages/sklearn/co
variance/graph_lasso_.py:33: RuntimeWarning: invalid value encountered in absolu
te
  cost += alpha * (np.abs(precision_).sum()
/home/myacct/myProg/Python273GNU/Linux64b/lib/python2.7/site-packages/sklearn/co
variance/graph_lasso_.py:34: RuntimeWarning: invalid value encountered in absolu
te
  - np.abs(np.diag(precision_)).sum())
/home/myacct/myProg/Python273GNU/Linux64b/lib/python2.7/site-packages/sklearn/co
variance/graph_lasso_.py:207: RuntimeWarning: invalid value encountered in absol
ute
  if np.abs(d_gap) < tol:
/home/myacct/myProg/Python273GNU/Linux64b/lib/python2.7/site-packages/numpy/lina
lg/linalg.py:1664: RuntimeWarning: invalid value encountered in absolute
  absd = absolute(d)
....SS..............S.........................................................S.
......../home/myacct/myProg/Python273GNU/Linux64b/lib/python2.7/site-packages/sk
learn/decomposition/fastica_.py:269: UserWarning: Ignoring n_components with whi
ten=False.
  warnings.warn('Ignoring n_components with whiten=False.')
.............................................../home/myacct/myProg/Python273GNU/
Linux64b/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 e
net_path function.
  clf.fit(dictionary.T, X.T, coef_init=init)
/home/myacct/myProg/Python273GNU/Linux64b/lib/python2.7/site-packages/sklearn/de
composition/dict_learning.py:110: DeprecationWarning: coef_init is now ignored a
nd will be removed in 0.15. See enet_path function.
  clf.fit(dictionary.T, X.T, coef_init=init)
/home/myacct/myProg/Python273GNU/Linux64b/lib/python2.7/site-packages/sklearn/de
composition/dict_learning.py:110: DeprecationWarning: coef_init is now ignored a
nd will be removed in 0.15. See enet_path function.
  clf.fit(dictionary.T, X.T, coef_init=init)
/home/myacct/myProg/Python273GNU/Linux64b/lib/python2.7/site-packages/sklearn/de
composition/dict_learning.py:110: DeprecationWarning: coef_init is now ignored a
nd will be removed in 0.15. See enet_path function.
  clf.fit(dictionary.T, X.T, coef_init=init)
../home/myacct/myProg/Python273GNU/Linux64b/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)
/home/myacct/myProg/Python273GNU/Linux64b/lib/python2.7/site-packages/sklearn/de
composition/dict_learning.py:110: DeprecationWarning: coef_init is now ignored a
nd will be removed in 0.15. See enet_path function.
  clf.fit(dictionary.T, X.T, coef_init=init)
/home/myacct/myProg/Python273GNU/Linux64b/lib/python2.7/site-packages/sklearn/de
composition/dict_learning.py:110: DeprecationWarning: coef_init is now ignored a
nd will be removed in 0.15. See enet_path function.
  clf.fit(dictionary.T, X.T, coef_init=init)
/home/myacct/myProg/Python273GNU/Linux64b/lib/python2.7/site-packages/sklearn/de
composition/dict_learning.py:110: DeprecationWarning: coef_init is now ignored a
nd will be removed in 0.15. See enet_path function.
  clf.fit(dictionary.T, X.T, coef_init=init)
/home/myacct/myProg/Python273GNU/Linux64b/lib/python2.7/site-packages/sklearn/de
composition/dict_learning.py:110: DeprecationWarning: coef_init is now ignored a
nd will be removed in 0.15. See enet_path function.
  clf.fit(dictionary.T, X.T, coef_init=init)
...S........................................................SSS.................
.............../home/myacct/myProg/Python273GNU/Linux64b/lib/python2.7/site-pack
ages/sklearn/externals/joblib/test/test_func_inspect.py:122: UserWarning: Cannot
 inspect object <functools.partial object at 0x327ab50>, ignore list will not wo
rk.
  nose.tools.assert_equal(filter_args(ff, ['y'], (1, )),
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======================================================================
ERROR: sklearn.cluster.bicluster.tests.test_utils.test_get_submatrix
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/myacct/myProg/Python273GNU/Linux64b/lib/python2.7/site-packages/no
se/case.py", line 197, in runTest
    self.test(*self.arg)
  File "/home/myacct/myProg/Python273GNU/Linux64b/lib/python2.7/site-packages/sk
learn/cluster/bicluster/tests/test_utils.py", line 43, in test_get_submatrix
    assert_true(np.all(X != -1))
  File "/home/myacct/myProg/Python273GNU/Linux64b/lib/python2.7/unittest/case.py
", line 418, in assertTrue
    if not expr:
  File "/home/myacct/myProg/Python273GNU/Linux64b/lib/python2.7/site-packages/sc
ipy/sparse/base.py", line 183, in __bool__
    raise ValueError("The truth value of an array with more than one "
ValueError: The truth value of an array with more than one element is ambiguous.
 Use a.any() or a.all().

======================================================================
FAIL: sklearn.feature_extraction.tests.test_image.test_connect_regions
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/myacct/myProg/Python273GNU/Linux64b/lib/python2.7/site-packages/no
se/case.py", line 197, in runTest
    self.test(*self.arg)
  File "/home/myacct/myProg/Python273GNU/Linux64b/lib/python2.7/site-packages/sk
learn/feature_extraction/tests/test_image.py", line 63, in test_connect_regions
    assert_equal(ndimage.label(mask)[1], connected_components(graph)[0])
AssertionError: 777 != 767

======================================================================
FAIL: sklearn.feature_extraction.tests.test_image.test_connect_regions_with_grid
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/myacct/myProg/Python273GNU/Linux64b/lib/python2.7/site-packages/no
se/case.py", line 197, in runTest
    self.test(*self.arg)
  File "/home/myacct/myProg/Python273GNU/Linux64b/lib/python2.7/site-packages/sk
learn/feature_extraction/tests/test_image.py", line 70, in test_connect_regions_
with_grid
    assert_equal(ndimage.label(mask)[1], connected_components(graph)[0])
AssertionError: 777 != 767

----------------------------------------------------------------------
Ran 1720 tests in 148.112s

FAILED (SKIP=14, errors=1, failures=2)