mltool
HaskellGBM
| mltool | HaskellGBM | |
|---|---|---|
| 1 | 1 | |
| 35 | 7 | |
| - | - | |
| 0.0 | 10.0 | |
| almost 6 years ago | about 4 years ago | |
| Haskell | Haskell | |
| BSD 3-clause "New" or "Revised" License | MIT License |
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mltool
HaskellGBM
-
looking for simple regression (or classification) library
Alternatively something like https://github.com/dpkatz/HaskellGBM – you can train a model in whatever language you want (or just on the command-line) and then easily use it from Haskell.
What are some alternatives?
som - Self-Organising Map implementation in Haskell
type-natural - Type-level well-kinded natural numbers.
Lattices - A package for Lattices in Haskell. With a very basic LLL (Lenstra-Lenstra-Lovász) lattice reduction algorithm
bayes-stack - Framework for Gibbs sampling of probabilistic models
units - The home of the units Haskell package
Xorshift128Plus - Pure haskell implementation of xorshift128plus random number generator
noether - Highly polymorphic algebraic structures with custom deriving strategies
diagrams-solve - Miscellaneous solver code for diagrams (low-degree polynomials, tridiagonal matrices)
hsignal - Signal processing for Haskell based on hmatrix
softfloat-hs - Haskell FFI bindings for SoftFloat.
gsl-random - Haskell bindings to the GSL random number generators and distribution functions
math-programming-glpk - A GLPK backend to the Haskell math-programming library