~/Dropbox/Private/Machine Learning $ python
Python 2.7.3 (v2.7.3:70274d53c1dd, Apr 9 2012, 20:52:43)
[GCC 4.2.1 (Apple Inc. build 5666) (dot 3)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> from sklearn.neural_network import MLPClassifier
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ImportError: No module named neural_network
Dominics-MacBook-Pro:Machine Learning dom$ nosetests --exe sklearn
....................S........................................../Library/Python/2.7/site-packages/scikit_learn-0.14_git-py2.7-macosx-10.8-intel.egg/sklearn/manifold/spectral_embedding.py:225:
UserWarning: Graph is not fully connected, spectral embedding may not
works as expected.
warnings.warn("Graph is not fully connected, spectral embedding"
......./Library/Python/2.7/site-packages/scikit_learn-0.14_git-py2.7-macosx-10.8-intel.egg/sklearn/covariance/graph_lasso_.py:45:
RuntimeWarning: invalid value encountered in absolute
gap += alpha * (np.abs(precision_).sum()
/Library/Python/2.7/site-packages/scikit_learn-0.14_git-py2.7-macosx-10.8-intel.egg/sklearn/covariance/graph_lasso_.py:46:
RuntimeWarning: invalid value encountered in absolute
- np.abs(np.diag(precision_)).sum())
/Library/Python/2.7/site-packages/numpy-1.8.0.dev_4600b2f_20130131-py2.7-macosx-10.8-intel.egg/numpy/linalg/linalg.py:1664:
RuntimeWarning: invalid value encountered in absolute
absd = absolute(d)
/Library/Python/2.7/site-packages/scikit_learn-0.14_git-py2.7-macosx-10.8-intel.egg/sklearn/covariance/graph_lasso_.py:32:
RuntimeWarning: invalid value encountered in absolute
cost += alpha * (np.abs(precision_).sum()
/Library/Python/2.7/site-packages/scikit_learn-0.14_git-py2.7-macosx-10.8-intel.egg/sklearn/covariance/graph_lasso_.py:33:
RuntimeWarning: invalid value encountered in absolute
- np.abs(np.diag(precision_)).sum())
/Library/Python/2.7/site-packages/scikit_learn-0.14_git-py2.7-macosx-10.8-intel.egg/sklearn/covariance/graph_lasso_.py:195:
RuntimeWarning: invalid value encountered in absolute
if np.abs(d_gap) < tol:
....SS....../Library/Python/2.7/site-packages/scikit_learn-0.14_git-py2.7-macosx-10.8-intel.egg/sklearn/datasets/tests/test_base.py:124:
UserWarning: Could not load sample images, PIL is not available.
warnings.warn("Could not load sample images, PIL is not available.")
.../Library/Python/2.7/site-packages/scikit_learn-0.14_git-py2.7-macosx-10.8-intel.egg/sklearn/datasets/tests/test_base.py:145:
UserWarning: Could not load sample images, PIL is not available.
warnings.warn("Could not load sample images, PIL is not available.")
./Library/Python/2.7/site-packages/scikit_learn-0.14_git-py2.7-macosx-10.8-intel.egg/sklearn/datasets/tests/test_base.py:161:
UserWarning: Could not load sample images, PIL is not available.
warnings.warn("Could not load sample images, PIL is not available.")
.....S..............................................E.S.........................................................S.........................................SSS....................../Library/Python/2.7/site-packages/scikit_learn-0.14_git-py2.7-macosx-10.8-intel.egg/sklearn/externals/joblib/test/test_func_inspect.py:122:
UserWarning: Cannot inspect object <functools.partial object at
0x108bd3998>, ignore list will not work.
nose.tools.assert_equal(filter_args(ff, ['y'], (1, )),
.....................................................................................................................................................................................................................................................................................................................................................................................S.......................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................SSS....S....S..................................................................................................................................
======================================================================
ERROR:
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_overcomplete
----------------------------------------------------------------------
Traceback (most recent call last):
File
"/Library/Python/2.7/site-packages/nose-1.2.1-py2.7.egg/nose/case.py", line
197, in runTest
self.test(*self.arg)
File
"/Library/Python/2.7/site-packages/scikit_learn-0.14_git-py2.7-macosx-10.8-intel.egg/sklearn/decomposition/tests/test_dict_learning.py",
line 117, in test_dict_learning_online_overcomplete
dico = MiniBatchDictionaryLearning(n_components, n_iter=20).fit(X)
File
"/Library/Python/2.7/site-packages/scikit_learn-0.14_git-py2.7-macosx-10.8-intel.egg/sklearn/decomposition/dict_learning.py",
line 1098, in fit
random_state=self.random_state)
File
"/Library/Python/2.7/site-packages/scikit_learn-0.14_git-py2.7-macosx-10.8-intel.egg/sklearn/decomposition/dict_learning.py",
line 624, in dict_learning_online
alpha=alpha).T
File
"/Library/Python/2.7/site-packages/scikit_learn-0.14_git-py2.7-macosx-10.8-intel.egg/sklearn/decomposition/dict_learning.py",
line 238, in sparse_encode
init=init, max_iter=max_iter)
File
"/Library/Python/2.7/site-packages/scikit_learn-0.14_git-py2.7-macosx-10.8-intel.egg/sklearn/decomposition/dict_learning.py",
line 99, in _sparse_encode
lasso_lars.fit(dictionary.T, X.T, Xy=cov)
File
"/Library/Python/2.7/site-packages/scikit_learn-0.14_git-py2.7-macosx-10.8-intel.egg/sklearn/linear_model/least_angle.py",
line 576, in fit
eps=self.eps, return_path=False)
File
"/Library/Python/2.7/site-packages/scikit_learn-0.14_git-py2.7-macosx-10.8-intel.egg/sklearn/linear_model/least_angle.py",
line 233, in lars_path
% (n_iter, alphas[n_iter], n_active, diag))
UnboundLocalError: local variable 'alphas' referenced before assignment
----------------------------------------------------------------------
Ran 1332 tests in 63.817s
FAILED (SKIP=15, errors=1)
