On Tue, Jan 24, 2012 at 2:47 AM, Olivier Grisel <[email protected]> wrote:
> Tests are fine on numpy 1.5.1 and scipy 0.10.0: > > https://jenkins.shiningpanda.com/scikit-learn/job/python-2.7-numpy-1.5.1-scipy-0.10.0/ > > Maybe a 1.6.1 specific issue? If this is a rounding issue triggering a > classification switch on the iris dataset I cannot see any "clean" fix > for this issue. LinearSVC is not completely deterministic IIRC and we don't control the seed. Using SGDClassifier with seed=0 instead may do the trick. Mathieu ------------------------------------------------------------------------------ Try before you buy = See our experts in action! The most comprehensive online learning library for Microsoft developers is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, Metro Style Apps, more. Free future releases when you subscribe now! http://p.sf.net/sfu/learndevnow-dev2 _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
