hmm-hmatrix: Hidden Markov Models using HMatrix primitives
Hidden Markov Models implemented using HMatrix data types and operations. http://en.wikipedia.org/wiki/Hidden_Markov_Model
It implements:
generation of samples of emission sequences,
computation of the likelihood of an observed sequence of emissions,
construction of most likely state sequence that produces an observed sequence of emissions,
supervised and unsupervised training of the model by Baum-Welch algorithm.
It supports any kind of emission distribution, where discrete and multivariate Gaussian distributions are implemented as examples.
For an introduction please refer to the examples:
An alternative package without foreign calls is hmm
.
Modules
[Index]
Downloads
- hmm-hmatrix-0.0.0.1.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
Maintainer's Corner
For package maintainers and hackage trustees
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Versions [RSS] | 0.0, 0.0.0.1, 0.0.1, 0.0.2, 0.1, 0.1.0.1, 0.1.1 |
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Dependencies | array (>=0.4 && <0.6), base (>=4.5 && <4.8), containers (>=0.4.2 && <0.6), explicit-exception (>=0.1.7 && <0.2), hmatrix (>=0.15 && <0.16), lazy-csv (>=0.5 && <0.6), non-empty (>=0.2.1 && <0.3), random (>=1.0 && <1.1), semigroups (>=0.8.4.1 && <0.17), transformers (>=0.2 && <0.5), utility-ht (>=0.0.10 && <0.1) [details] |
License | BSD-3-Clause |
Author | Henning Thielemann |
Maintainer | haskell@henning-thielemann.de |
Category | Math |
Home page | http://hub.darcs.net/thielema/hmm-hmatrix |
Source repo | this: darcs get http://hub.darcs.net/thielema/hmm-hmatrix --tag 0.0.0.1 head: darcs get http://hub.darcs.net/thielema/hmm-hmatrix |
Uploaded | by HenningThielemann at 2015-07-12T16:05:57Z |
Distributions | |
Reverse Dependencies | 1 direct, 0 indirect [details] |
Downloads | 4157 total (0 in the last 30 days) |
Rating | (no votes yet) [estimated by Bayesian average] |
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Status | Docs available [build log] Last success reported on 2015-07-12 [all 1 reports] |