I think I found it - but I have to test it again with the whole data set and let you know.
So when I am using only one tag in the Y for example [1, 1, 1, 1, 1, 1, 1, 1]. it is returing the error I metioned in my first post. But when I am having something like this [1, 1,1, 1, 1, 1, 1, 2]. It seem OK, no error is returned. I will test it with the real data set and I will let you know. However, in the code Lines of the sklearn.sparse.svm.SCV() lib returned with the <invalid shape> error there was only checked the shape of the data and not the content. Regards, Dimitrios On 03/27/2012 08:29 PM, Gael Varoquaux wrote: > On Tue, Mar 27, 2012 at 08:20:11PM +0300, Dimitrios Pritsos wrote: >> So Should I send the whole thing or the parts are creating the matrix? > Just save X and y and create a gist that can reproduce the problem > without the external dependencies. > > G > > ------------------------------------------------------------------------------ > This SF email is sponsosred by: > Try Windows Azure free for 90 days Click Here > http://p.sf.net/sfu/sfd2d-msazure > _______________________________________________ > Scikit-learn-general mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general ------------------------------------------------------------------------------ This SF email is sponsosred by: Try Windows Azure free for 90 days Click Here http://p.sf.net/sfu/sfd2d-msazure _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
