Hi,
I am attaching a list of the run to the scikit test function.
It Failed, which makes me wonder, if I am missing some critical components or
my installation is wrong.
I installed the Neuro Debian and then installed it through the synaptic manager.
Thanks for any help in advance.
Kalyana SV
/usr/lib/pymodules/python2.6/sklearn/ball_tree.py:6: DeprecationWarning:
BallTree has been moved to sklearn.neighbors.BallTree in v0.9 sklearn.ball_tree
will be removed in v0.11
category=DeprecationWarning)
/usr/lib/pymodules/python2.6/sklearn/cross_val.py:2: UserWarning:
sklearn.cross_val namespace is deprecated in version 0.9 and will be removed in
version 0.11. Please use sklearn.cross_validation instead.
warnings.warn('sklearn.cross_val namespace is deprecated in version 0.9'
/usr/lib/pymodules/python2.6/sklearn/hmm.py:24: UserWarning: sklearn.hmm is
orphaned, undocumented and has known numerical stability issues. If nobody
volunteers to write documentation and make it more stable, this module will be
removed in version 0.11.
warnings.warn('sklearn.hmm is orphaned, undocumented and has known numerical'
.........../usr/lib/pymodules/python2.6/sklearn/neighbors/base.py:23:
UserWarning: kneighbors: neighbor k+1 and neighbor k have the same distance:
results will be dependent on data order.
warnings.warn(msg)
................................/usr/lib/pymodules/python2.6/sklearn/cluster/spectral.py:77:
UserWarning: pyamg not available, using scipy.sparse
warnings.warn('pyamg not available, using scipy.sparse')
.S...../usr/lib/pymodules/python2.6/sklearn/utils/extmath.py:34:
RuntimeWarning: invalid value encountered in log
ld += np.log(d)
/usr/lib/pymodules/python2.6/sklearn/utils/extmath.py:31: RuntimeWarning:
invalid value encountered in log
ld = np.sum(np.log(np.diag(A)))
/usr/lib/pymodules/python2.6/sklearn/utils/extmath.py:34: RuntimeWarning:
divide by zero encountered in log
ld += np.log(d)
..............E..SS............/usr/lib/python2.6/dist-packages/scipy/linalg/decomp.py:1177:
DeprecationWarning: qr econ argument will be removed after scipy 0.7. The
economy transform will then be available through the mode='economic' argument.
"the mode='economic' argument.", DeprecationWarning)
........................./usr/lib/pymodules/python2.6/sklearn/decomposition/dict_learning.py:262:
UserWarning: Please note: the interface of sparse_encode has changed: It now
follows the dictionary learning API and it also handles parallelization. Please
read the docstring for more information.
warnings.warn("Please note: the interface of sparse_encode has changed: "
.........S........................./usr/lib/pymodules/python2.6/sklearn/decomposition/nmf.py:237:
UserWarning: Iteration limit reached in nls subproblem.
warnings.warn("Iteration limit reached in nls subproblem.")
.................../usr/lib/pymodules/python2.6/sklearn/decomposition/sparse_pca.py:147:
RuntimeWarning: invalid value encountered in divide
U /= np.sqrt((U ** 2).sum(axis=0))
.....S...../usr/lib/pymodules/python2.6/sklearn/ensemble/forest.py:309:
RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
................................../usr/lib/pymodules/python2.6/sklearn/svm/classes.py:373:
FutureWarning: SVM: scale_C will be True by default in scikit-learn 0.11
cache_size, scale_C)
................../usr/lib/pymodules/python2.6/sklearn/svm/classes.py:184:
FutureWarning: SVM: scale_C will be True by default in scikit-learn 0.11
cache_size, scale_C)
.................../usr/lib/pymodules/python2.6/sklearn/linear_model/least_angle.py:224:
RuntimeWarning: invalid value encountered in divide
z = -coefs[n_iter, active] / least_squares
................../usr/lib/python2.6/dist-packages/scipy/sparse/linalg/dsolve/linsolve.py:62:
SparseEfficiencyWarning: spsolve requires CSC or CSR matrix format
warn('spsolve requires CSC or CSR matrix format', SparseEfficiencyWarning)
/usr/lib/python2.6/dist-packages/scipy/sparse/linalg/dsolve/linsolve.py:78:
DeprecationWarning: scipy.sparse.linalg.dsolve.umfpack will be removed, install
scikits.umfpack instead
' install scikits.umfpack instead', DeprecationWarning )
.S...../usr/lib/pymodules/python2.6/sklearn/linear_model/coordinate_descent.py:173:
UserWarning: Objective did not converge, you might want to increase the number
of iterations
warnings.warn('Objective did not converge, you might want'
.............................../usr/lib/pymodules/python2.6/sklearn/linear_model/omp.py:172:
UserWarning: Orthogonal matching pursuit ended prematurely due to linear
dependence in the dictionary. The requested precision might not have been met.
warn(premature)
.../usr/lib/pymodules/python2.6/sklearn/linear_model/omp.py:78: UserWarning:
Orthogonal matching pursuit ended prematurely due to linear
dependence in the dictionary. The requested precision might not have been met.
warn(premature)
........................................................................../usr/lib/pymodules/python2.6/sklearn/metrics/cluster/tests/test_supervised.py:33:
DeprecationWarning: BaseException.message has been deprecated as of Python 2.6
if hasattr(e, 'message'):
/usr/lib/pymodules/python2.6/sklearn/metrics/cluster/tests/test_supervised.py:35:
DeprecationWarning: BaseException.message has been deprecated as of Python 2.6
assert e.message == message
......./usr/lib/pymodules/python2.6/sklearn/metrics/cluster/supervised.py:680:
RuntimeWarning: underflow encountered in exp
term3 = np.exp(gln)
................................./usr/lib/pymodules/python2.6/sklearn/utils/extmath.py:233:
RuntimeWarning: underflow encountered in exp
out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/usr/lib/pymodules/python2.6/sklearn/mixture/gmm.py:333: RuntimeWarning:
underflow encountered in exp
posteriors = np.exp(lpr - logprob[:, np.newaxis])
.../usr/lib/pymodules/python2.6/sklearn/mixture/dpgmm.py:39: RuntimeWarning:
underflow encountered in exp
out = np.log(np.sum(np.exp(v), axis=0))
/usr/lib/pymodules/python2.6/sklearn/mixture/dpgmm.py:40: RuntimeWarning:
underflow encountered in exp
v = np.exp(v - out)
............................/usr/lib/pymodules/python2.6/sklearn/mixture/gmm.py:683:
RuntimeWarning: underflow encountered in multiply
avg_cv = np.dot(post * obs.T, obs) / (post.sum() +
....................../usr/lib/pymodules/python2.6/sklearn/utils/__init__.py:50:
DeprecationWarning: Class NeighborsClassifier is deprecated; to be removed in
v0.11;
use KNeighborsClassifier or RadiusNeighborsClassifier instead
warnings.warn(msg, category=DeprecationWarning)
...../usr/lib/pymodules/python2.6/sklearn/utils/__init__.py:50:
DeprecationWarning: Class NeighborsRegressor is deprecated; will be removed in
v0.11;
use KNeighborsRegressor or RadiusNeighborsRegressor instead
warnings.warn(msg, category=DeprecationWarning)
........./usr/lib/pymodules/python2.6/sklearn/svm/classes.py:275:
FutureWarning: SVM: scale_C will be True by default in scikit-learn 0.11
cache_size, scale_C=None)
./usr/lib/pymodules/python2.6/sklearn/svm/classes.py:497: FutureWarning: SVM:
scale_C will be True by default in scikit-learn 0.11
cache_size, scale_C=scale_C)
.../usr/lib/pymodules/python2.6/sklearn/svm/sparse/base.py:23: FutureWarning:
SVM: scale_C will be True by default in scikit-learn 0.11
scale_C)
...................................../usr/lib/pymodules/python2.6/sklearn/svm/classes.py:590:
FutureWarning: SVM: scale_C will be True by default in scikit-learn 0.11
False, cache_size, scale_C=None)
................EEE...../usr/lib/pymodules/python2.6/sklearn/tree/tree.py:690:
RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
....................................................................../usr/lib/pymodules/python2.6/sklearn/hmm.py:136:
RuntimeWarning: underflow encountered in exp
posteriors = np.exp(gamma.T - logsumexp(gamma, axis=1)).T
......................../usr/lib/pymodules/python2.6/sklearn/hmm.py:359:
RuntimeWarning: underflow encountered in exp
posteriors = np.exp(gamma.T - logsumexp(gamma, axis=1)).T
/usr/lib/pymodules/python2.6/sklearn/hmm.py:530: RuntimeWarning: underflow
encountered in exp
stats['trans'] += np.exp(zeta - logsumexp(zeta))
................................................................EE
======================================================================
ERROR: Doctest: sklearn.datasets.base.load_sample_images
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/pymodules/python2.6/nose/plugins/doctests.py", line 395, in
tearDown
delattr(__builtin__, self._result_var)
AttributeError: _
======================================================================
ERROR: Doctest: sklearn.tree.tree.DecisionTreeClassifier
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/pymodules/python2.6/nose/plugins/doctests.py", line 395, in
tearDown
delattr(__builtin__, self._result_var)
AttributeError: _
======================================================================
ERROR: Doctest: sklearn.tree.tree.DecisionTreeRegressor
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/pymodules/python2.6/nose/plugins/doctests.py", line 395, in
tearDown
delattr(__builtin__, self._result_var)
AttributeError: _
======================================================================
ERROR: Doctest: sklearn.tree.tree.export_graphviz
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/pymodules/python2.6/nose/plugins/doctests.py", line 395, in
tearDown
delattr(__builtin__, self._result_var)
AttributeError: _
======================================================================
ERROR: Doctest: sklearn.NoseTester.test
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/pymodules/python2.6/nose/plugins/doctests.py", line 395, in
tearDown
delattr(__builtin__, self._result_var)
AttributeError: _
======================================================================
ERROR: Doctest: sklearn.test
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/pymodules/python2.6/nose/plugins/doctests.py", line 395, in
tearDown
delattr(__builtin__, self._result_var)
AttributeError: _
----------------------------------------------------------------------
Ran 707 tests in 101.748s
FAILED (SKIP=6, errors=6)
[1]+ Done python -c "import sklearn; sklearn.test()"------------------------------------------------------------------------------
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