Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

This package also provides optimized functions to compute column-wise and pairwise distances with matrices (i.e., 2D arrays), which are often substantially faster than a straightforward loop ...