On Friday, November 3, 2017 at 10:06:49 AM UTC, Francisco Ramos wrote: > > Sounds good. Remember, I built NumElm with Machine Learning algorithms in > mind. So I added mostly the functionality used in such algorithms. >
I suppose polynomial fitting is a kind of machine learning. I am a little bemused by how much ML currently seems to be focused on neural networks, I always thought kernel methods would overtake the neural approach. Kernel methods map non-linear problems back into linear ones with higher dimensionality, just like how this polynomial curve fitting turns a polynomial into a linear fitting problem with as many dimensions as the degree of the polynomial. I created this gist for you. Just now, and without testing, so I'm not sure > if it works, but it looks like what you're looking for. Please give it a > try and let me know: > > https://gist.github.com/jscriptcoder/3be0e4186bc8098d1310e6e7fb3bf441 > Thanks. -- You received this message because you are subscribed to the Google Groups "Elm Discuss" group. To unsubscribe from this group and stop receiving emails from it, send an email to elm-discuss+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/d/optout.
