On 2012-02-20, at 3:46 AM, Olivier Grisel wrote: > How high dimensional is this? GraphLasso works on the empirical > covariance matrix which is implemented as an 2D numpy array with shape > (n_features, n_features). It won't fit in memory for n_features > > 10000 and it might be intractably too long to converge much before > that (I haven't tried so I cannot say).
10000 * 10000 doubles is less than a gigabyte. Is there some other source of memory consumption? Most computers nowadays could handle that. David ------------------------------------------------------------------------------ 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
