Hi
For a multi-label classification problem, I am using labelBinarizer which is giving me memory error. I found a pull request for this issue. I am wondering if I can pull it now? https://github.com/scikit-learn/scikit-learn/pull/2458 Also applying to the latest trunk(master), gives me an error. I am not sure if I am doing right. Can someone suggest an alternative to using LabelBinarizer? (almost a newbie to scikit, so any suggestion welcome) curl https://github.com/scikit-learn/scikit-learn/pull/2458.patch | git am % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 61961 100 61961 0 0 123k 0 --:--:-- --:--:-- --:--:-- 360k Applying: Modify label_binarize /home/ag68/scikit/scikit-learn/.git/rebase-apply/patch:31: trailing whitespace. Y = csc_matrix((data, (row, col)), shape = (len(y), len(classes))) error: sklearn/preprocessing/label.py: does not match index Patch failed at 0001 Modify label_binarize -Anitha ------------------------------------------------------------------------------ Learn Graph Databases - Download FREE O'Reilly Book "Graph Databases" is the definitive new guide to graph databases and their applications. Written by three acclaimed leaders in the field, this first edition is now available. Download your free book today! http://p.sf.net/sfu/13534_NeoTech _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
