Implementation of Hidden markov model in discrete domain.
Project description
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
[numpy](http://www.numpy.org/)
License
Copyright (c) 2016 Rahul Ramesh. See the LICENSE file for license rights and limitations (MIT).