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 [email protected]. For more options, visit https://groups.google.com/d/optout.
