hmm: A hidden markov model library

[ algorithms, bsd3, data-mining, library, machine-learning ] [ Propose Tags ]

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.




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Versions [RSS] 0.1, 0.1.1, 0.2.1,
Dependencies array, base (>=4 && <5), data-memocombinators, list-extras, logfloat [details]
License BSD-3-Clause
Author Mike Izbicki
Category Algorithms, Data mining, Machine learning
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Uploaded by MikeIzbicki at 2012-03-26T19:37:56Z
Reverse Dependencies 1 direct, 0 indirect [details]
Downloads 3609 total (12 in the last 30 days)
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Status Docs uploaded by user
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