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 optimization, or neural networks training
Go to https://github.com/ktklam9/HaskellLM for example usage (in tests)
| Versions | 0.1.0, 0.1.1, 0.1.2 |
|---|---|
| Dependencies | base (==4.*), 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 Mon Feb 27 09:10:02 UTC 2012 |
| Distributions | NixOS:0.1.2 |
| Downloads | 1434 total (16 in the last 30 days) |
| Rating | (no votes yet) [estimated by rule of succession] |
| Your Rating | |
| Status | Docs uploaded by user Build status unknown [no reports yet] Hackage Matrix CI |
Downloads
- HaskellLM-0.1.0.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)