mltool
HSvm
| mltool | HSvm | |
|---|---|---|
| 1 | 1 | |
| 35 | 4 | |
| - | - | |
| 0.0 | 5.7 | |
| almost 6 years ago | 5 months ago | |
| Haskell | C++ | |
| BSD 3-clause "New" or "Revised" License | BSD 2-clause "Simplified" License |
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mltool
HSvm
-
looking for simple regression (or classification) library
I've used https://github.com/paulrzcz/HSvm (libsvm) for some things – if all you need is svm-like classification and your data is of the easily predictable kind (so you don't have to experiment much with different models), that might be enough (just m <- SVM.train (SVM.NuSvc 0.25) (SVM.RBF 1) trainFeats; prediction <- SVM.predict m inputFeats, remember to scale numbers to 0..1).
What are some alternatives?
som - Self-Organising Map implementation in Haskell
HLearn-algebra - Homomorphic machine learning
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