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).
1 maintainer
Release files for hidden_markov 0.3.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| hidden_markov-0.3.2.tar.gz | 6.6 kB |
