Multivariate Polynomial Fit
Holds a python function to perform multivariate polynomial regression in Python using NumPy
This is similar to numpy's polyfit function but works on multiple covariates
This code originated from the following question on StackOverflow
New BSD license. See LICENSE.txt
This is not a commonly used method. It often results in a solution with many non-zero coeffieicients like
10 x**2 + 0.01 x y - 0.02 x + 20 y - 0.03 y**2
Instead of a sparse solution like
10 x**2 + 20 y
To obtain sparse solutions (like the second) where near-zero elements are eliminated you should probably look into L1 regularization
But I rarely respond to questions about this repository. It is oddly popular but the implementation is pretty dense and so this project generates a large number of reasonable questions. Unfortunately I don't have time to respond to all of these.
I would care more about this project if it contained a useful algorithm. It doesn't.
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