More flexibility for Support Vector Machines
In other machine learning tools, SVM supports different kernel functions, and each function may have additional parameters. I assume "Project to the unit-sphere" is a kernel function, but could not find a definition for that function.
A kernel I found useful in many cases was the Radial Basis Function (RBF, parameters C or lambda, gamma), but there are others. It would also be useful to allow defining a custom kernel function, for example with an R script (or whatever language is most appropriate for the SVM implementation used)
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