The hmm package

[Tags:bsd3, library]

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 The tutorial also includes performance benchmarks that you should be aware of.


Versions 0.1, 0.1.1, 0.2.1,
Dependencies array, base (==4.*), data-memocombinators, list-extras, logfloat [details]
License BSD3
Author Mike Izbicki
Stability Unknown
Category Algorithms, Data mining, Machine learning
Home page
Uploaded Mon Mar 26 19:37:56 UTC 2012 by MikeIzbicki
Distributions NixOS:
Downloads 1076 total (13 in the last 30 days)
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Status Docs uploaded by user
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