Hello SKLearn community,

Following up on a thread a few days ago on errors encountered running
nosetests sklearn. Providing the details below as requested.

Installation is based on git clone of:

   - https://github.com/fonnesbeck/ScipySuperpack
   - https://github.com/scikit-learn/scikit-learn

Running Mac OSX 10.7.4. It's not important to me to have cutting-edge
versions of the code. Just looking for a stable version to learn and get
started.

Also, relevant output from pip freeze:

   -
   - ipython==0.13.beta1
   - matplotlib==1.2.x
   - nose==1.1.2
   - ## FIXME: could not find svn URL in dependency_links for this package:
   - numpy==1.8.0.dev-e15d0bd-20120629
   - scikit-learn==0.12-git
   - scipy==0.10.1
   - sklearn==0.0.0

& nosetest results below.

Thank you.

-Michael

----------------------------------------------------------------------
Ran 937 tests in 132.127s

FAILED (SKIP=12, errors=2)

..../Users/anuzismichael/projects/scikit-learn/sklearn/naive_bayes.py:269:
RuntimeWarning: divide by zero encountered in log
  self.class_log_prior_ = np.log(y_freq) - np.log(y_freq.sum())
.........................................
======================================================================
ERROR: test suite for <module 'sklearn.datasets.tests.test_lfw' from
'/Users/anuzismichael/projects/scikit-learn/sklearn/datasets/tests/test_lfw.pyc'>
----------------------------------------------------------------------
Traceback (most recent call last):
  File
"/Users/anuzismichael/.virtualenvs/learndjango/lib/python2.7/site-packages/nose-1.1.2-py2.7.egg/nose/suite.py",
line 208, in run
    self.setUp()
  File
"/Users/anuzismichael/.virtualenvs/learndjango/lib/python2.7/site-packages/nose-1.1.2-py2.7.egg/nose/suite.py",
line 291, in setUp
    self.setupContext(ancestor)
  File
"/Users/anuzismichael/.virtualenvs/learndjango/lib/python2.7/site-packages/nose-1.1.2-py2.7.egg/nose/suite.py",
line 314, in setupContext
    try_run(context, names)
  File
"/Users/anuzismichael/.virtualenvs/learndjango/lib/python2.7/site-packages/nose-1.1.2-py2.7.egg/nose/util.py",
line 478, in try_run
    return func()
  File
"/Users/anuzismichael/projects/scikit-learn/sklearn/datasets/tests/test_lfw.py",
line 72, in setup_module
    imsave(file_path, uniface)
  File
"/Users/anuzismichael/.virtualenvs/learndjango/lib/python2.7/site-packages/scipy-0.10.1-py2.7-macosx-10.7-x86_64.egg/scipy/misc/pilutil.py",
line 138, in imsave
    im.save(name)
  File
"/Users/anuzismichael/.virtualenvs/learndjango/lib/python2.7/site-packages/PIL/Image.py",
line 1439, in save
    save_handler(self, fp, filename)
  File
"/Users/anuzismichael/.virtualenvs/learndjango/lib/python2.7/site-packages/PIL/JpegImagePlugin.py",
line 471, in _save
    ImageFile._save(im, fp, [("jpeg", (0,0)+im.size, 0, rawmode)])
  File
"/Users/anuzismichael/.virtualenvs/learndjango/lib/python2.7/site-packages/PIL/ImageFile.py",
line 495, in _save
    e = Image._getencoder(im.mode, e, a, im.encoderconfig)
  File
"/Users/anuzismichael/.virtualenvs/learndjango/lib/python2.7/site-packages/PIL/Image.py",
line 401, in _getencoder
    raise IOError("encoder %s not available" % encoder_name)
IOError: encoder jpeg not available

======================================================================
ERROR: Check that primal coef modification are not silently ignored
----------------------------------------------------------------------
Traceback (most recent call last):
  File
"/Users/anuzismichael/.virtualenvs/learndjango/lib/python2.7/site-packages/nose-1.1.2-py2.7.egg/nose/case.py",
line 197, in runTest
    self.test(*self.arg)
  File
"/Users/anuzismichael/projects/scikit-learn/sklearn/svm/tests/test_svm.py",
line 574, in test_immutable_coef_property
    assert_raises(RuntimeError, clf.coef_.__setitem__, (0, 0), 0)
  File
"/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/unittest/case.py",
line 456, in assertRaises
    callableObj(*args, **kwargs)
ValueError: assignment destination is read-only

----------------------------------------------------------------------
Ran 937 tests in 132.127s

FAILED (SKIP=12, errors=2)
------------------------------------------------------------------------------
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