The swift-lda package

[Tags: bsd3, library]

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

Versions0.4.0, 0.4.1, 0.7.0.0
Dependenciesarray (>=0.3), base (>=3 && <5), containers (>=0.4), ghc-prim (>=0.2), mwc-random (>=0.12), primitive (>=0.4), vector (>=0.9)
LicenseBSD3
AuthorGrzegorz Chrupała <pitekus@gmail.com>
MaintainerGrzegorz Chrupała <pitekus@gmail.com>
CategoryNatural Language Processing
Home pagehttps://bitbucket.org/gchrupala/colada
Upload dateSun Apr 1 10:40:33 UTC 2012
Uploaded byGrzegorzChrupala
Downloads289 total (33 in last 30 days)

Modules

[Index]

Downloads

Maintainers' corner

For package maintainers and hackage trustees