Hi all, I'm new to scikit-learn and I'm trying to reproduce some results obtained with LIBSVM. I'm using the SVM regression and doing grid search to find the optimal C, gamma and epsilon for my training dataset.
The ranges for the search using libsvm implementation are: C = [1, 10] gamma = [0.0001, 0.01] epsilon= [0.1, 0.2] When I try the same values with the grid search + SVR implemented in Scikit-learn I get different results. I wonder how should I adapt the values above to the scikit-learn implementation. Does anyone have some pointers? Thanks, José Guilherme ------------------------------------------------------------------------------ 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
