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.


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Properties

Versions 0.4.0, 0.4.1, 0.7.0.0
Dependencies array (>=0.3), base (>=3 && <5), containers (>=0.4), ghc-prim (>=0.2), mwc-random (>=0.12), primitive (>=0.4), vector (>=0.9) [details]
License BSD3
Author Grzegorz Chrupała <pitekus@gmail.com>
Maintainer Grzegorz Chrupała <pitekus@gmail.com>
Stability Unknown
Category Natural Language Processing
Home page https://bitbucket.org/gchrupala/colada
Uploaded Fri Jun 8 14:51:13 UTC 2012 by GrzegorzChrupala
Distributions NixOS:0.7.0.0
Downloads 637 total (13 in the last 30 days)
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Status Docs uploaded by user
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Readme for swift-lda

Readme for swift-lda-0.4.1