hmm.cabal

Name: hmm
Version: 0.3
Cabal-Version:  >= 1.2
Build-type: Simple
License: BSD3
License-file: LICENSE
Author: Mike Izbicki
Maintainer: mike@izbicki.me
Homepage: https://github.com/mikeizbicki/hmm
Category: Algorithms, Data mining, Machine learning

Synopsis: A hidden markov model library
Description: Data.HMM is a library for using Hidden Markov Models with Haskell.  Commonly used algoriths (i.e. the forward and backwards algorithms, Viterbi, and Baum-Welch) are implemented.  The best way to learn to use it is to visit the tutorial at <http://izbicki.me/blog/using-hmms-in-haskell-for-bioinformatics>.  The tutorial also includes performance benchmarks that you should be aware of.

Source-Repository this
  Tag: 0.3
  Type: git
  Location: https://github.com/mikeizbicki/hmm

Source-Repository head
  Type: git
  Location: https://github.com/mikeizbicki/hmm

Library
  Build-Depends: 
                 base,logfloat,data-memocombinators,list-extras,array,
                 binary >=0.7.1 && <0.8,
                 bytestring >=0.9.0 && <0.11,
                 containers >=0.4.2 && <0.6
  Exposed-modules:
    Data.HMM