> Does N mean n_samples and p n_features? yes >What about number of targets, is it 1 everywhere? not sure what you mean... The first table contains binary classification data, in the second table the number of classes is given by #class.
for the regression problem, I belief, the lpsa variable has been predicted. or are you asking if there is more then one outcome (target) vector? Then its 1 everywhere as in Ax=b when b is a vector. I hope this makes sense to you :P ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
