On Tue, May 08, 2012 at 02:09:58PM -0400, Yaroslav Halchenko wrote:
> I wonder what is the current approach to reproduce random failures of
> the tests battery?
There shouldn't be any :(.
> would it be feasible to suggest (PR) for sklearn/test_setup.py (I guess)
> to seed RNGs with some random but known seed and print it out
We try to do that as much as possible. AFAIK there are no unseeded RNGs,
but I am worried that we might have let things go through.
> ERROR:
> sklearn.svm.tests.test_sparse.test_sparse_svc_clone_with_callable_kernel
> ----------------------------------------------------------------------
> Traceback (most recent call last):
> File "/usr/lib/pymodules/python2.7/nose/case.py", line 186, in runTest
> self.test(*self.arg)
> File
> "/tmp/buildd/scikit-learn-0.11.0/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm/tests/test_sparse.py",
> line 210, in test_sparse_svc_clone_with_callable_kernel
> b.fit(X_sp, Y)
> File
> "/tmp/buildd/scikit-learn-0.11.0/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm/base.py",
> line 141, in fit
> fit(X, y, sample_weight)
> File
> "/tmp/buildd/scikit-learn-0.11.0/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm/base.py",
> line 278, in _sparse_fit
> int(self.shrinking), int(self.probability))
> File "libsvm_sparse.pyx", line 158, in
> sklearn.svm.libsvm_sparse.libsvm_sparse_train
> (sklearn/svm/libsvm_sparse.c:1927)
> File "/usr/lib/python2.7/dist-packages/scipy/sparse/compressed.py", line
> 75, in __init__
> self.shape = shape # spmatrix will check for errors
> File "/usr/lib/python2.7/dist-packages/scipy/sparse/base.py", line 71, in
> set_shape
> raise ValueError('invalid shape')
> ValueError: invalid shape
I have been having this one every once in a while. It's hard to
reproduce, and I don't understand it :(.
> 3. I lost record of it but it was about ICA and failure to equate 1.0 to
> 0.994... up to two decimals which looked weird to me (do not remember
> location or details -- sorry)
Is that reproducible (I guess not, or you would be able to give us more
detail). ICA might be a code line in which we forgot the control the seed
of the random init.
Thanks for the report,
Gaël
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