Skip to main content

Rankability Toolbox

Project description

# Rankability Toolbox This repo contains various implementations that provide insights into the rankability of data.

## Authors Paul Anderson, Ph.D.<br> Department of Computer Science<br> Director, Data Science Program<br> College of Charleston<br>

Amy Langville, Ph.D.<br> Department of Mathematics<br> College of Charleston<br>

Tim Chartier, Ph.D.<br> Department of Mathematics<br> Davidson College

## Acknowledgements We would like to thank the entire IGARDS team for their invaluable insight and encouragement.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for pyrankability, version 0.0.11
Filename, size File type Python version Upload date Hashes
Filename, size pyrankability-0.0.11-py2-none-any.whl (26.6 kB) File type Wheel Python version py2 Upload date Hashes View hashes
Filename, size pyrankability-0.0.11.tar.gz (18.6 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page