[SciPy-Dev] distributions.ncf.fit -- never converges?

[Yaroslav Halchenko]

Thanks Josef for the confirmation and making your computer sweat ;)

I have built current master

*In [3]: scipy.__version__
Out[3]: '0.10.0.dev'

the same story.

apparently it is known to some degree -- ncf is skipped the unittesting:

$> git grep -A 10 'TestFitMethod'
scipy/stats/tests/test_distributions.py:class TestFitMethod(TestCase):
scipy/stats/tests/test_distributions.py-    skip = ['ncf']
scipy/stats/tests/test_distributions.py-
scipy/stats/tests/test_distributions.py-    @dec.slow
scipy/stats/tests/test_distributions.py-    def test_fit(self):
scipy/stats/tests/test_distributions.py-        for func, dist, args, alpha in test_all_distributions():
scipy/stats/tests/test_distributions.py-            if dist in self.skip:
scipy/stats/tests/test_distributions.py-                continue

$> git show ba349771
commit ba349771afebb1473a961139570da770ada59032
Author: Travis Oliphant <oliphant at enthought.com>
Date:   Tue Jun 1 07:59:20 2010 +0000

    Add tests for fit method including fixing input parameters.


;-) :-/

On Wed, 13 Apr 2011, josef.pktd at gmail.com wrote:

> >  python -c 'import scipy.stats.distributions as ssd, numpy as np; d=ssd.ncf; d.fit(np.array([-0.03756533,  0.18115522,  0.06605958, -0.09195276,  0.06162608, 0.07139736, -0.1570828 , -0.11967677, -0.19186652,  0.29411319]));'

> I only have 0.9.0, I forgot to kill the process and 1 hour 22 minutes
> of cpu time later it still hadn't returned.
> At least a maximum iteration or maximum function evaluation should
> have stopped it.

> Josef
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