After placing more than ten points, press space or fit to fit a polynomial function to them. Press deg to change the degree of the polynomial you want to fit. Go here for nearly instant calculation: turbowarp.org/487890491/fullscreen?hqpen&turbo
How it works: This project uses gradient descent with the Adam optimizer to minimize the mean squared distance between the y values of the points (targets) and y values of the curve at the x values of the points (predictions). To find a good polynomial degree, it uses 3-fold cross validation, weighted to bias it toward lower degrees. The coordinate data is normalized so as not to prevent numerical instability.
