Recommended Optimization package for ILNumerics
I am starting to code my own machine learning package, adopting ILNumerics.
I will definitely get into Neural Nets, SVM, kernel methods and then I
will start moving into a more bayesian frameworks.
I know that ILNumerics already offers some 'machine learning toolbox', but
I would like to add my contribution and code my own algorithms, also
because some of the features are not present (yet?)
First, if I understand well, as of now no optimization package is
included. I hope I am wrong; if this is the case, any suggestions on how
to implement it through ILNumerics; for this I simply mean: mixing
pre-existing code would impact performance? Is it advisable to mix ILArray
and other vectors/matrices?
Or, if you prefer, would you recommend any pre-built available
optimization package/library?
Thanks for any hints/advice, recommendations as usual,
GL
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