Name: swift-lda Version: 0.4.1 Synopsis: Online sampler for Latent Dirichlet Allocation Description: 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. Homepage: https://bitbucket.org/gchrupala/colada License: BSD3 License-file: LICENSE Author: Grzegorz Chrupała Maintainer: Grzegorz Chrupała Category: Natural Language Processing Extra-source-files: README Build-type: Simple Cabal-version: >=1.2 Library Exposed-modules: NLP.SwiftLDA , NLP.SwiftLDA.UnboxedMaybeVector Build-depends: base >= 3 && < 5 , vector >= 0.9 , primitive >= 0.4 , mwc-random >= 0.12 , array >= 0.3 , ghc-prim >= 0.2 , containers >= 0.4 Other-modules: GHC-options: -O2