Pure Haskell implementation of the Levenberg-Marquardt algorithm
|Latest on Hackage:||0.1.2|
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The Levenberg-Marquardt algorithm is a minimization algorithm for functions expressed as a sum of squared errors
This can be used for curve-fitting, multidimensional function minimization, and neural networks training
Go to https://github.com/ktklam9/HaskellLM for example usage (in tests)