Implementation of Hidden markov model in discrete domain.
Project description
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 .
Requirements
License
Copyright (c) 2016 Rahul Ramesh. See the LICENSE file for license rights and limitations (MIT).
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| Filename, size | File type | Python version | Upload date | Hashes |
|---|---|---|---|---|
| Filename, size hidden_markov-0.3.2.tar.gz (6.6 kB) | File type Source | Python version None | Upload date | Hashes View |
