The swift-lda package
Online Gibbs sampler for Latent Dirichlet Allocation. LDA is a generative admixture model frequently used for topic modeling and other applications. The primary goal of this implementation is to be used for probabilistic soft word class induction. The sampler can be used in an online as well as batch mode. This package uses an imperative implementation in the ST monad.
Properties
| Versions | 0.4.0, 0.4.1 |
|---|---|
| Dependencies | array (≥0.3), base (≥3 & <5), containers (≥0.4), ghc-prim (≥0.2), mwc-random (≥0.12), primitive (≥0.4), vector (≥0.9) |
| License | BSD3 |
| Author | Grzegorz Chrupała <pitekus@gmail.com> |
| Maintainer | Grzegorz Chrupała <pitekus@gmail.com> |
| Category | Natural Language Processing |
| Home page | https://bitbucket.org/gchrupala/colada |
| Upload date | Fri Jun 8 14:51:13 UTC 2012 |
| Uploaded by | GrzegorzChrupala |
| Built on | ghc-7.4 |
Modules
Downloads
- swift-lda-0.4.1.tar.gz (Cabal source package)
- package description (included in the package)