2012/1/23 Dimitrios Pritsos <[email protected]>: > I will give it a try however in some of my tests had a memory management > problem. As I can recall it was mostly because of numpy function that > might ask from pyTable to load every thing in main men. I guess some > loops and some slicing might solve the problem.
No experience with PyTables, sorry. > However I fist try to figure out how to use linear_model.SGDClassifier > which it suppose to be capable to be trained in stages. Plus since I am > using Linear Kernel it won't effect my results. Is that an SVC(kernel="linear") or a LinearSVC? The latter should be able to handle a 50k samples array if the number of features is kept within some bound (a few 100k should certainly be fine). -- Lars Buitinck Scientific programmer, ILPS University of Amsterdam ------------------------------------------------------------------------------ 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
