On 2012-05-24, at 10:27 AM, Ian Goodfellow <[email protected]> wrote:
> I think I've figured out what the problem is, but someone familiar > with the code should confirm. > I think SVC is always using a decision function based on support > vectors, even though in the case of a linear kernel it is > computationally cheaper to just do one dot product in feature space. I think this is how libsvm will always behave, yes, though SKL's predict() could special case for kernel == "linear". ------------------------------------------------------------------------------ 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
