Hi,
I have a failed test while running "nosetests sklearn":
............/Users/stanleynwang/Programming
Projects/scikit-learn/sklearn/cluster/hierarchical.py:111: UserWarning: the
number of connected components of the connectivity matrix is 2 > 1. Completing
it to avoid stopping the tree early.
% n_components)
..........................................S/Users/stanleynwang/Programming
Projects/scikit-learn/sklearn/covariance/empirical_covariance_.py:60:
UserWarning: Only one sample available. You may want to reshape your data array
warnings.warn("Only one sample available. " \
../Users/stanleynwang/Programming
Projects/scikit-learn/sklearn/covariance/shrunk_covariance_.py:282:
UserWarning: Only one sample available. You may want to reshape your data array
warnings.warn("Only one sample available. " \
./Users/stanleynwang/Programming
Projects/scikit-learn/sklearn/covariance/shrunk_covariance_.py:439:
UserWarning: Only one sample available. You may want to reshape your data array
warnings.warn("Only one sample available. " \
../Users/stanleynwang/Programming
Projects/scikit-learn/sklearn/covariance/graph_lasso_.py:44: RuntimeWarning:
invalid value encountered in absolute
gap += alpha * (np.abs(precision_).sum()
/Users/stanleynwang/Programming
Projects/scikit-learn/sklearn/covariance/graph_lasso_.py:45: RuntimeWarning:
invalid value encountered in absolute
- np.abs(np.diag(precision_)).sum())
/Users/stanleynwang/Programming
Projects/scikit-learn/sklearn/covariance/graph_lasso_.py:31: RuntimeWarning:
invalid value encountered in absolute
cost += alpha * (np.abs(precision_).sum()
/Users/stanleynwang/Programming
Projects/scikit-learn/sklearn/covariance/graph_lasso_.py:32: RuntimeWarning:
invalid value encountered in absolute
- np.abs(np.diag(precision_)).sum())
/Users/stanleynwang/Programming
Projects/scikit-learn/sklearn/covariance/graph_lasso_.py:194: RuntimeWarning:
invalid value encountered in absolute
if np.abs(d_gap) < tol:
....................SS.S................................................S....................................................S......................................................../Users/stanleynwang/Programming
Projects/scikit-learn/sklearn/externals/joblib/test/test_func_inspect.py:122:
UserWarning: Cannot inspect object <functools.partial object at 0x104a653c0>,
ignore list will not work.
nose.tools.assert_equal(filter_args(ff, ['y'], (1, )),
...........................................................................................................................................................................................................................................................Exception
AttributeError: AttributeError("'NoneType' object has no attribute 'tell'",)
in <bound method memmap.__del__ of memmap(1.5e-323)> ignored
Exception AttributeError: AttributeError("'NoneType' object has no attribute
'tell'",) in <bound method memmap.__del__ of memmap(1.5e-323)> ignored
Exception AttributeError: AttributeError("'NoneType' object has no attribute
'tell'",) in <bound method memmap.__del__ of memmap(1.5e-323)> ignored
/Users/stanleynwang/Programming
Projects/scikit-learn/sklearn/externals/joblib/test/test_numpy_pickle.py:182:
Warning: file
"/var/folders/zF/zFnvGDnkF-GbddyGrBLC9k+++TI/-Tmp-/tmpbgCi7n/test.pkl764"
appears to be a zip, ignoring mmap_mode "r" flag passed
numpy_pickle.load(this_filename, mmap_mode='r')
Exception AttributeError: AttributeError("'NoneType' object has no attribute
'tell'",) in <bound method memmap.__del__ of memmap(1.5e-323)> ignored
........................................................................................................................S......................................................................................................................................................................F.................................................................................................................................................................................................................................................................................................................................................................................SSS....S....S...........................................................................................
======================================================================
FAIL: test_locally_linear.test_lle_simple_grid
----------------------------------------------------------------------
Traceback (most recent call last):
File
"/usr/local/Cellar/python/2.7.3/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/nose/case.py",
line 197, in runTest
self.test(*self.arg)
File "/Users/stanleynwang/Programming
Projects/scikit-learn/sklearn/manifold/tests/test_locally_linear.py", line 64,
in test_lle_simple_grid
assert_less(np.linalg.norm(X_reembedded - clf.embedding_), tol)
AssertionError: 0.9331466879443665 not less than 0.1
"""Fail immediately, with the given message."""
>> raise self.failureException('0.9331466879443665 not less than 0.1')
----------------------------------------------------------------------
Ran 1253 tests in 56.977s
FAILED (SKIP=12, failures=1)
I'm running on OS X 10.6.8 Snow Leopard, with python 2.7.3, numpy 1.6.2, scipy
0.10.1, the latest matplotlib from GitHub, and ipython 0.13. Help with this
would be greatly appreciated. Thanks!
Stanley Wang
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