Skip to content

Programmatically implement the Viterbi algorithm to compute the most likely weather sequence and probability for any given observation sequence.

Notifications You must be signed in to change notification settings

dhwaniraval/Viterbi_Algorithm

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

1 Commit
 
 
 
 
 
 
 
 

Repository files navigation

-----------------------------------------------------
6320.501: Natural Language Processing
-----------------------------------------------------
Name: Dhwani Raval
Project Name: Viterbi
Version: 0.1
Language: Python 3.6


------------------------------------------------------------------------------------------------------------------------
Problem Description
------------------------------------------------------------------------------------------------------------------------
Programmatically implement the Viterbi algorithm to compute the most likely weather sequence and probability for any 
given observation sequence.


------------------------------------------------------------------------------------------------------------------------
About Files
------------------------------------------------------------------------------------------------------------------------
The project contains the following files:
  
	1. /Viterbi.py
	   The python file containing the solution for problem statement.
	
	2. /readme.txt
       The file contains the information about the files in the submission folder and running instructions for the
       programming file.


------------------------------------------------------------------------------------------------------------------------
Running Instructions
------------------------------------------------------------------------------------------------------------------------
1. Download the project and unzip it in the desired location
2. In cmd, navigate to the location where Viterbi is unzipped and use the following instruction
    python Viterbi.py <input number>

About

Programmatically implement the Viterbi algorithm to compute the most likely weather sequence and probability for any given observation sequence.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages