HaskellLM: Pure Haskell implementation of the Levenberg-Marquardt algorithm
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)
Downloads
- HaskellLM-0.1.2.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
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| Versions [RSS] | 0.1.0, 0.1.1, 0.1.2 |
|---|---|
| Dependencies | base (>=4 && <5), hmatrix (>=0.12.0.0) [details] |
| License | LicenseRef-GPL |
| Author | Kiet Lam |
| Maintainer | Kiet Lam <ktklam9@gmail.com> |
| Category | Math |
| Source repo | head: git clone https://github.com/ktklam9/HaskellLM |
| Uploaded | by KietLam at 2012-02-29T16:44:40Z |
| Distributions | |
| Reverse Dependencies | 1 direct, 0 indirect [details] |
| Downloads | 3006 total (9 in the last 30 days) |
| Rating | (no votes yet) [estimated by Bayesian average] |
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| Status | Docs uploaded by user Build status unknown [no reports yet] |