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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).

Release History

Release History

This version
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0.3.2

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0.3.1

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0.3

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0.1

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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

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