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Implementation of Hidden markov model in discrete domain.

Project description

Hidden Markov Model

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.

Installation

To install this package, clone this [repo](https://github.com/Red-devilz/hidden_markov) and from the root directory run:

$ python setup.py install

An alternative way to install the package hidden_markov, is to use pip or easy_install, i.e. run the command:

$ pip install hidden_markov

If you are unfamiliar with pip, checkout [this link](https://pip.pypa.io/en/stable/installing/) to install pip.

Usage

Check this link(TODO) for a basic overview of Hidden markov models.

Requirements

License

Copyright (c) 2016 Rahul Ramesh. See the LICENSE file for license rights and limitations (MIT).

Project details


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