-- lda.cabal auto-generated by cabal init. For additional options, see -- http://www.haskell.org/cabal/release/cabal-latest/doc/users-guide/authors.html#pkg-descr. -- The name of the package. Name: lda -- The package version. See the Haskell package versioning policy -- (http://www.haskell.org/haskellwiki/Package_versioning_policy) for -- standards guiding when and how versions should be incremented. Version: 0.0.2 -- A short (one-line) description of the package. Synopsis: Online Latent Dirichlet Allocation -- A longer description of the package. 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. -- URL for the project homepage or repository. Homepage: https://bitbucket.org/gchrupala/colada -- The license under which the package is released. License: BSD3 -- The file containing the license text. License-file: LICENSE -- The package author(s). Author: Grzegorz ChrupaƂa -- An email address to which users can send suggestions, bug reports, -- and patches. Maintainer: pitekus@gmail.com -- A copyright notice. -- Copyright: Category: Natural Language Processing -- Extra files to be distributed with the package, such as examples or -- a README. Extra-source-files: README Build-type: Simple -- Constraint on the version of Cabal needed to build this package. Cabal-version: >=1.2 Library -- Modules exported by the library. Exposed-modules: NLP.LDA , NLP.LDA.UnboxedMaybeVector , NLP.LDA.Utils -- Packages needed in order to build this package. Build-depends: base >= 3 && < 5 , containers >= 0.4 , random-fu >= 0.2.1.1 , rvar >= 0.2 , random-source >= 0.3.0.2 , mtl >= 2.0 , ghc-prim >= 0.2 , vector >= 0.9 -- Modules not exported by this package. Other-modules: -- Extra tools (e.g. alex, hsc2hs, ...) needed to build the source. -- Build-tools: GHC-options: -O2