On 05/08/2012 10:41 AM, Gael Varoquaux wrote: > On Mon, May 07, 2012 at 03:50:00PM -0400, Félix-Antoine Fortin wrote: >> I presumed there are valid reasons for using a numpy array, and represent >> error points as -1. > Reasons for using a numpy array are that it is faster and more memory > efficient than a list. > For that reason we use numpy arrays for as much as possible (which is nearly everything) in sklearn. We discussed the representation of missing values / errors and we could not come up with a better (feasible) way than -1.
------------------------------------------------------------------------------ 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
