Rankability Toolbox
Project description
# Rankability Toolbox This repo contains various implementations that provide insights into the rankability of data.
## Installation Clone to repository or download the repository as a zip and unzip it into a local directory. <pre> git clone https://github.com/IGARDS/rankability_toolbox</pre>
## Tutorial A full tutorial can be found in the live coding notebook tutorial.mlx or a static version can be found in tutorial.pdf.
## Authors Paul Anderson, Ph.D.<br> Department of Computer Science<br> Director, Data Science Program<br> College of Charleston
Amy Langville, Ph.D.<br> Department of Mathematics<br> College of Charleston
Tim Chartier, Ph.D.<br> Department of Mathematics<br> Davidson College
## Acknowledgements We would like to thank the entire IGARDS team at the College of Charleston for their invaluable insight and encouragement.
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