Hello Spark Community - I am using the support vector machine / SVM implementation in MLlib with the standard linear kernel; however, I noticed in the Spark documentation for StandardScaler is *specifically* mentions that SVMs which use the RBF kernel work really well when you have standardized data...
which begs the question, is there some kind of support for RBF kernels rather than linear kernels? In small data tests using R the RBF kernel worked really well, and linear kernel never converged...so I would really like to use RBF. Thank you folks for any help! Aris
