Sorry forgot the link. I am following the tutorial here:
http://scikit-learn.github.com/scikit-learn-tutorial/setup.html#install-scikit-learn-build-dependencies
On Mon, Jan 23, 2012 at 3:21 PM, Blake Visin <[email protected]> wrote:
> I am trying to get started with scikit-learn and I am following the
> tutorial here:
>
> I am running on Ubuntu 11.10 Linux 3.0.0-14-generic x86_64 I have
> installed all the necessary packages listed in the tutorial and here is the
> output when running nosetests sklearn:
>
> blake@blake-M4600:~/workspace/scikit-learn-tutorial$ nosetests sklearn
> /usr/local/lib/python2.7/dist-packages/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/local/lib/python2.7/dist-packages/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)
> .................................S........SS................................/usr/local/lib/python2.7/dist-packages/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/local/lib/python2.7/dist-packages/sklearn/decomposition/nmf.py:237:
> UserWarning: Iteration limit reached in nls subproblem.
> warnings.warn("Iteration limit reached in nls subproblem.")
> .................../usr/local/lib/python2.7/dist-packages/sklearn/decomposition/sparse_pca.py:147:
> RuntimeWarning: invalid value encountered in divide
> U /= np.sqrt((U ** 2).sum(axis=0))
> .....S...../usr/local/lib/python2.7/dist-packages/sklearn/ensemble/forest.py:309:
> RuntimeWarning: divide by zero encountered in log
> return np.log(self.predict_proba(X))
> ...................../usr/local/lib/python2.7/dist-packages/sklearn/externals/joblib/test/test_func_inspect.py:111:
> UserWarning: Cannot inspect object <functools.partial object at 0x3283cb0>,
> 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(2.5598363e-316)> ignored
> Exception AttributeError: AttributeError("'NoneType' object has no
> attribute 'tell'",) in <bound method memmap.__del__ of
> memmap(2.63294776e-316)> ignored
> Exception AttributeError: AttributeError("'NoneType' object has no
> attribute 'tell'",) in <bound method memmap.__del__ of
> memmap(2.63294776e-316)> ignored
> /usr/local/lib/python2.7/dist-packages/sklearn/externals/joblib/test/test_numpy_pickle.py:179:
> Warning: file "/tmp/tmpVmt3BI/test.pkl410" 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(2.5669003e-316)> ignored
>
> ...................................................................................S........................................F..............................................................................................................................................................................................................................................................................................................................................................
> ======================================================================
> FAIL: Ridge regression convergence test using score
> ----------------------------------------------------------------------
> Traceback (most recent call last):
> File "/usr/lib/pymodules/python2.7/nose/case.py", line 187, in runTest
> self.test(*self.arg)
> File
> "/usr/local/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_ridge.py",
> line 55, in test_ridge
> assert ridge.score(X, y) > 0.5
> AssertionError
>
> ----------------------------------------------------------------------
> Ran 897 tests in 38.093s
>
> FAILED (SKIP=6, failures=1)
>
>
> What am I doing wrong?
>
> Thanks for any help!
>
> -Blake
>
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