Implementation of Hidden markov model in discrete domain.
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This package is an implementation of Viterbi Algorithm, Forward algorithm and the Baum Welch Algorithm. The computations are done via matrices to improve the algorithm runtime. Package hidden_markov is tested with Python version 2.7 and Python version 3.5.
Documentation
Check this link for a detailed documentation of the project.
If you are new to hidden markov models check out this tutorial .
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License
Copyright (c) 2016 Rahul Ramesh. See the LICENSE file for license rights and limitations (MIT).
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| File Name & Checksum SHA256 Checksum Help | Version | File Type | Upload Date |
|---|---|---|---|
| hidden_markov-0.3.2.tar.gz (6.6 kB) Copy SHA256 Checksum SHA256 | – | Source | Dec 6, 2016 |
