A simple Hidden Markov Model implementation.
This repository is an attempt to create a usable Hidden Markov Model library, based on the paper A Revealing Introduction to Hidden Markov Models by Dr. Mark Stamp of San Jose State University.
The paper can be downloaded here.
Install the module with: npm install hmm
var HiddenMarkovModel = require('hmm');
// create a hmm machine with these definitions
var hmm = new HiddenMarkovModel(aDef, bDef, piDef);
In lieu of a formal styleguide, take care to maintain the existing coding style. Add unit tests for any new or changed functionality. Lint and test your code using Grunt.
Copyright (c) 2015 Timothy Guan-tin Chien Licensed under the MIT license.
FAQs
A simple Hidden Markov Model implementation.
We found that hmm demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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