lazyppl: Lazy Probabilistic Programming Library
LazyPPL is a Haskell library for Bayesian probabilistic programming. It supports lazy use of probability, which is useful for specifying non-parametric models, and we provide new Metropolis-Hastings algorithms to allow this. For illustrations, see https://lazyppl-team.github.io/. The Gaussian Process module uses hmatrix, which requires a separate lapack installation (or -dev or -devel).
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- lazyppl-1.0.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
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| Versions [RSS] | 1.0 |
|---|---|
| Dependencies | base (>=4.7 && <5), containers (>=0.6.5.1 && <0.7), hmatrix (>=0.20.2 && <0.21), log-domain (>=0.13.2 && <0.14), math-functions (>=0.3.4.2 && <0.3.5), monad-extras (>=0.6.0 && <0.7), mtl (>=2.2.2 && <2.4), random (>=1.2.0 && <1.3), transformers (>=0.5.6.2 && <0.7) [details] |
| License | MIT |
| Copyright | 2021-2024 LazyPPL team |
| Author | LazyPPL team |
| Maintainer | sam.staton@cs.ox.ac.uk |
| Category | Statistics |
| Home page | https://lazyppl-team.github.io/ |
| Bug tracker | https://github.com/lazyppl-team/lazyppl/issues |
| Source repo | head: git clone https://github.com/lazyppl-team/lazyppl |
| Uploaded | by samstaton at 2024-08-21T19:32:06Z |
| Distributions | LTSHaskell:1.0, NixOS:1.0 |
| Downloads | 50 total (8 in the last 30 days) |
| Rating | 2.0 (votes: 1) [estimated by Bayesian average] |
| Your Rating | |
| Status | Docs available [build log] Last success reported on 2024-08-21 [all 1 reports] |