Metadata-Version: 1.1
Name: hidden_markov
Version: 0.3.2
Summary: Implementation of Hidden markov model in discrete domain.
Home-page: http://github.com/Red-devilz/hidden_markov
Author: Rahul
Author-email: UNKNOWN
License: MIT
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.
        
        Documentation
        -------------
        
        `Check this link <http://hidden-markov.readthedocs.io/en/latest/>`_ for a detailed documentation of the project. 
        
        If you are new to hidden markov models check out this `tutorial <https://drive.google.com/file/d/0B51S7y4fFTS2bnNLcnllc1dpdVE/view?usp=sharing>`_  . 
        
        Requirements
        ------------
        
        * `numpy <http://www.numpy.org/>`_  
        
        License
        -------
        
        Copyright (c) 2016 Rahul Ramesh.  See the LICENSE file for license rights and limitations (MIT).
        
Keywords: hmm hidden markov model
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
