hmm: Hidden Markov Model algorithms
[ algorithms, bsd3, data-mining, library, machine-learning ]
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A simple library for working with Hidden Markov Models. Should be usable even by people who are not familiar with HMMs. Includes implementations of Viterbi's algorithm and the forward algorithm.
Flags
Automatic Flags
| Name | Description | Default |
|---|---|---|
| small_base | Choose the new smaller, split-up base package. | Enabled |
Use -f <flag> to enable a flag, or -f -<flag> to disable that flag. More info
Downloads
- hmm-0.1.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
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For package maintainers and hackage trustees
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| Versions [RSS] | 0.1, 0.1.1, 0.2.1, 0.2.1.1 |
|---|---|
| Dependencies | base, containers [details] |
| License | BSD-3-Clause |
| Author | Max Rabkin |
| Maintainer | max.rabkin@gmail.com |
| Category | algorithms, natural language processing, data mining |
| Uploaded | by MaxRabkin at 2008-03-24T18:24:37Z |
| Distributions | |
| Reverse Dependencies | 1 direct, 0 indirect [details] |
| Downloads | 3738 total (1 in the last 30 days) |
| Rating | (no votes yet) [estimated by Bayesian average] |
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| Status | Docs uploaded by user Build status unknown [no reports yet] |