On Tue, 08 May 2012, Gael Varoquaux wrote:
> > I wonder what is the current approach to reproduce random failures of
> > the tests battery?
> There shouldn't be any :(.
I concur! ;)
> > 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.
is there a point where generic numpy.random gets explicitly seeded
upon sklearn import?
> > 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 :(.
I guess then such global seeding would be of great help ;)
> > 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.
since it happened on my laptop I guess I have no chance but to bombard
it with testing while trying to reproduce... but for that I better also
first provide that deterministic seeding, otherwise it might be of no
use :-/
> Thanks for the report,
"Pleasure" is mine ;)
--
Yaroslav O. Halchenko
Postdoctoral Fellow, Department of Psychological and Brain Sciences
Dartmouth College, 419 Moore Hall, Hinman Box 6207, Hanover, NH 03755
Phone: +1 (603) 646-9834 Fax: +1 (603) 646-1419
WWW: http://www.linkedin.com/in/yarik
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