On Wed, Dec 21, 2011 at 06:36:03PM -0000, [email protected] 
wrote:
> first thing I would like to say that I'm not so experienced with python
> therefore I might do something really stupid which I cannot see.
> Nevertheless I don't manege to understand why the following script throw
> an assertion error.
> Indeed, training the one class svm with a dataset or with a shuffled one
> seems to give two different results.

As Alex answered, the problem is that the algorithm didn't converge to
the optimum to a high tolerance. So what you are seeing are optimization
errors that depend on the starting point.

Gael

------------------------------------------------------------------------------
RSA(R) Conference 2012
Mar 27 - Feb 2
Save $400 by Jan. 27
Register now!
http://p.sf.net/sfu/rsa-sfdev2dev2
_______________________________________________
Scikit-learn-general mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general

Reply via email to