Name:                swift-lda
Version:             0.4.0
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 <pitekus@gmail.com>
Maintainer:          Grzegorz Chrupała <pitekus@gmail.com>
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