This is still a work in progress, but it contains a lot of functions that I found to be missing from Swift for doing machine learning, and using matrices in general.

Note this is of course subject to my copyright policy, and cannot be used for commercial purposes.

The actual commercial version of my core A.I. library should be ready in about a month, as this is going much faster than I thought it would.

I’ve also included a basic main file that shows you how to read a dataset, run nearest neighbor, manipulate vectors, and generate clusters. It’s the same exact algorithms you’ll find in my Octave library, the only difference being it’s written in Swift, which is not vectorized, but has the advantage of publishing to the Apple Store, and that’s the only reason I’m doing this, since I don’t really need a GUI for this audience.