The learning-hmm package

[ Tags: algorithms, library, machine-learning, mit, statistics ] [ Propose Tags ]

This library provides functions for the maximum likelihood estimation of discrete hidden Markov models. At present, only Baum-Welch and Viterbi algorithms are implemented for the plain HMM and the input-output HMM.


Change log
Dependencies base (>=4.7 && <5), containers, deepseq, hmatrix (>=0.16), random-fu, random-source, vector [details]
License MIT
Copyright Copyright (c) 2014-2015 Mitsuhiro Nakamura
Author Mitsuhiro Nakamura
Maintainer Mitsuhiro Nakamura <>
Category Algorithms, Machine Learning, Statistics
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Source repo head: git clone
Uploaded Sun Apr 5 13:13:18 UTC 2015 by mnacamura
Distributions NixOS:
Downloads 3614 total (104 in the last 30 days)
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Status Docs available [build log]
Last success reported on 2015-04-05 [all 1 reports]
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