Skip to content
master
Switch branches/tags
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 

Simple Implementation of the Viterbi Algorithm for training Hidden Markov Models.

This is an implementation of the Viterbi Algorithm for training Hidden Markov models based on Luis Serrano's YouTube video on the subject. This repo accompanies the video found here: https://www.youtube.com/watch?v=kqSzLo9fenk

This implementation can handle prior probabilities, and any sized probability transition matrix. It cannot handle exit probabilities though.

Example sets

Choose any one of the function names in the example_sets class file and use it like so in the main:

example_sets.function_name()

About

An implementation of the Viterbi Algorithm for training Hidden Markov models. This repo accompanies the video found here: https://www.youtube.com/watch?v=kqSzLo9fenk

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published