Paste: scikit-learn test failures

[erg@pliny scikit-learn]$ [master*] nosetests
/home/erg/python/scikit-learn/sklearn/feature_selection/selector_mixin.py:7: DeprecationWarning: sklearn.feature_selection.selector_mixin.SelectorMixin has been renamed sklearn.feature_selection.from_model._LearntSelectorMixin, and this alias will be removed in version 0.16
  DeprecationWarning)
/home/erg/python/scikit-learn/sklearn/pls.py:7: DeprecationWarning: This module has been moved to cross_decomposition and will be removed in 0.15
  "removed in 0.15", DeprecationWarning)
/home/erg/python/scikit-learn/sklearn/tests/test_random_projection.py:41: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future
  (rng.randn(n_nonzeros),
/home/erg/python/scikit-learn/sklearn/tests/test_random_projection.py:42: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future
  (rng.randint(n_samples, size=n_nonzeros),
/home/erg/python/scikit-learn/sklearn/tests/test_random_projection.py:43: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future
  rng.randint(n_features, size=n_nonzeros))),
./usr/lib/python2.7/site-packages/scipy/spatial/distance.py:1176: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future
  dm = np.zeros((m * (m - 1) / 2,), dtype=np.double)
.....F./usr/lib/python2.7/site-packages/scipy/spatial/distance.py:1176: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future
  dm = np.zeros((m * (m - 1) / 2,), dtype=np.double)
../usr/lib/python2.7/site-packages/scipy/spatial/distance.py:1176: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future
  dm = np.zeros((m * (m - 1) / 2,), dtype=np.double)
/usr/lib/python2.7/site-packages/scipy/spatial/distance.py:1176: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future
  dm = np.zeros((m * (m - 1) / 2,), dtype=np.double)
/usr/lib/python2.7/site-packages/scipy/spatial/distance.py:1176: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future
  dm = np.zeros((m * (m - 1) / 2,), dtype=np.double)
/usr/lib/python2.7/site-packages/scipy/spatial/distance.py:1176: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future
  dm = np.zeros((m * (m - 1) / 2,), dtype=np.double)
/usr/lib/python2.7/site-packages/scipy/spatial/distance.py:1176: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future
  dm = np.zeros((m * (m - 1) / 2,), dtype=np.double)
....................................................../home/erg/python/scikit-learn/sklearn/manifold/spectral_embedding_.py:226: UserWarning: Graph is not fully connected, spectral embedding may not works as expected.
  warnings.warn("Graph is not fully connected, spectral embedding"
......./home/erg/python/scikit-learn/sklearn/covariance/graph_lasso_.py:193: RuntimeWarning: invalid value encountered in multiply
  * coefs)
/home/erg/python/scikit-learn/sklearn/covariance/graph_lasso_.py:195: RuntimeWarning: invalid value encountered in multiply
  * coefs)
..........................SS..............S...........................................................S/home/erg/python/scikit-learn/sklearn/decomposition/dict_learning.py:110: DeprecationWarning: Xy param is now ignored and will be removed in 0.15. See enet_path function.
  clf.fit(dictionary.T, X.T, Xy=cov, coef_init=init)
........./home/erg/python/scikit-learn/sklearn/decomposition/fastica_.py:257: UserWarning: Ignoring n_components with whiten=False.
  warnings.warn('Ignoring n_components with whiten=False.')
............................................../home/erg/python/scikit-learn/sklearn/decomposition/dict_learning.py:110: DeprecationWarning: Xy param is now ignored and will be removed in 0.15. See enet_path function.
  clf.fit(dictionary.T, X.T, Xy=cov, coef_init=init)
/home/erg/python/scikit-learn/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, Xy=cov, coef_init=init)
/home/erg/python/scikit-learn/sklearn/decomposition/dict_learning.py:110: DeprecationWarning: Xy param is now ignored and will be removed in 0.15. See enet_path function.
  clf.fit(dictionary.T, X.T, Xy=cov, coef_init=init)
/home/erg/python/scikit-learn/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, Xy=cov, coef_init=init)
/home/erg/python/scikit-learn/sklearn/decomposition/dict_learning.py:110: DeprecationWarning: Xy param is now ignored and will be removed in 0.15. See enet_path function.
  clf.fit(dictionary.T, X.T, Xy=cov, coef_init=init)
/home/erg/python/scikit-learn/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, Xy=cov, coef_init=init)
/home/erg/python/scikit-learn/sklearn/decomposition/dict_learning.py:110: DeprecationWarning: Xy param is now ignored and will be removed in 0.15. See enet_path function.
  clf.fit(dictionary.T, X.T, Xy=cov, coef_init=init)
/home/erg/python/scikit-learn/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, Xy=cov, coef_init=init)
../home/erg/python/scikit-learn/sklearn/decomposition/dict_learning.py:110: DeprecationWarning: Xy param is now ignored and will be removed in 0.15. See enet_path function.
  clf.fit(dictionary.T, X.T, Xy=cov, coef_init=init)
/home/erg/python/scikit-learn/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, Xy=cov, coef_init=init)
/home/erg/python/scikit-learn/sklearn/decomposition/dict_learning.py:110: DeprecationWarning: Xy param is now ignored and will be removed in 0.15. See enet_path function.
  clf.fit(dictionary.T, X.T, Xy=cov, coef_init=init)
/home/erg/python/scikit-learn/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, Xy=cov, coef_init=init)
/home/erg/python/scikit-learn/sklearn/decomposition/dict_learning.py:110: DeprecationWarning: Xy param is now ignored and will be removed in 0.15. See enet_path function.
  clf.fit(dictionary.T, X.T, Xy=cov, coef_init=init)
/home/erg/python/scikit-learn/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, Xy=cov, coef_init=init)
/home/erg/python/scikit-learn/sklearn/decomposition/dict_learning.py:110: DeprecationWarning: Xy param is now ignored and will be removed in 0.15. See enet_path function.
  clf.fit(dictionary.T, X.T, Xy=cov, coef_init=init)
/home/erg/python/scikit-learn/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, Xy=cov, coef_init=init)
/home/erg/python/scikit-learn/sklearn/decomposition/dict_learning.py:110: DeprecationWarning: Xy param is now ignored and will be removed in 0.15. See enet_path function.
  clf.fit(dictionary.T, X.T, Xy=cov, coef_init=init)
/home/erg/python/scikit-learn/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, Xy=cov, coef_init=init)
...S..........................................................SSS................................./home/erg/python/scikit-learn/sklearn/externals/joblib/test/test_func_inspect.py:122: UserWarning: Cannot inspect object <functools.partial object at 0x50335d0>, ignore list will not work.
  nose.tools.assert_equal(filter_args(ff, ['y'], (1, )),
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======================================================================
ERROR: Test L1 regularization
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Traceback (most recent call last):
  File "/home/erg/python/scikit-learn/sklearn/linear_model/tests/test_sgd.py", line 387, in test_sgd_l1
    Y = Y4[idx, :]
IndexError: too many indices

======================================================================
ERROR: Test L1 regularization
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/erg/python/scikit-learn/sklearn/linear_model/tests/test_sgd.py", line 387, in test_sgd_l1
    Y = Y4[idx, :]
IndexError: too many indices

======================================================================
FAIL: Check that we obtain the correct solution for unstructured ward tree.
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Traceback (most recent call last):
  File "/usr/lib/python2.7/site-packages/nose-1.3.0-py2.7.egg/nose/case.py", line 197, in runTest
    self.test(*self.arg)
  File "/home/erg/python/scikit-learn/sklearn/cluster/tests/test_hierarchical.py", line 55, in test_unstructured_ward_tree
    assert_equal(len(warning_list), 1)
AssertionError: 2 != 1
    '2 != 1' = '%s != %s' % (safe_repr(2), safe_repr(1))
    '2 != 1' = self._formatMessage('2 != 1', '2 != 1')
>>  raise self.failureException('2 != 1')
    

----------------------------------------------------------------------
Ran 2583 tests in 74.741s

FAILED (SKIP=15, errors=2, failures=1)