Naive, assumption-less curve fitting by simulated annealing on function expression level
- matplotlib (for visualization)
- sympy (for printing function expressions)
example.py shows how to use metafit to load and fit 2D data from a .csv file.
Here is an example for the curve fitted (10 iterations) to the standard normal distribution data set from the repository (standardnormal.csv). The fitted curve expression was 0.398961428125197*(0.60638179926863**a)**a. Note that the data set is simply the theoretical p.d.f. of the standard normal distribution.
