[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 , ignore list will not work. nose.tools.assert_equal(filter_args(ff, ['y'], (1, )), ...............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................S....................................................................................................................E.....................................................E.................................................S............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................SSS....S....S........................................................................................................................................................ ====================================================================== 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 ====================================================================== 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. ---------------------------------------------------------------------- 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)