Hi all, Just curious if there is a standardized set of algorithms which can be run, specifically to test whether the supplied dataset is large enough for the respective kernel choice in SVM?
Is there an implementation, or Python method within scikit-learn that can perform these sort of tests? If not, has someone performed some kind of research in these matters? Thank you, Jeff Levesque https://github.com/jeff1evesque ------------------------------------------------------------------------------ Find and fix application performance issues faster with Applications Manager Applications Manager provides deep performance insights into multiple tiers of your business applications. It resolves application problems quickly and reduces your MTTR. Get your free trial! https://ad.doubleclick.net/ddm/clk/302982198;130105516;z _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
