Hello, There is a Great difference in the performance of SVM.fit() method (OneClassSVM in particular) depending on the input. When the input is a Sparse Matrix the Training is Extremely slow for a very small amount of data i.e. 180x1000 matrix where 1000 are the features size and 180 are the samples. On the other hand an Array input of the same size is quite fast, even faster than the Libsvm Python API as I can recall.
Is that normal or I ve encountered some short of a bug? Best Regards, Dimitrios On 09/12/2012 10:28 AM, Dimitrios Pritsos wrote: > OK, good to know. I will follow the new way. I always like to be up to > date, the reason I dwld the latest (git) version. > > Thanks > > Dimitrios > > > > On 09/11/2012 04:01 PM, Olivier Grisel wrote: >> 2012/9/11 Dimitrios Pritsos<[email protected]>: >>> Thank you very much Olivier. >>> >>> Yes I ve seen the api ref, however, I ve seen the svm.sparse folder in >>> the git, too. And I was confused. >> It's just to preserver backward compatibility for a couple of >> versions. You should get a deprecation warning if you use this one. >> > > ------------------------------------------------------------------------------ > 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 ------------------------------------------------------------------------------ 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
