How can we improve Microsoft Azure Machine Learning?

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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    Christos Karras shared this idea  ·   ·  Flag idea as inappropriate…  ·  Admin →

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