Jeffrey Levesque
2016-04-27 03:15:41 UTC
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
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