Pure Haskell implementation of the Levenberg-Marquardt algorithm
This package is not currently in any snapshots. If you're interested in using it, we recommend adding it to Stackage Nightly. Doing so will make builds more reliable, and allow stackage.org to host generated Haddocks.
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)