Skip to content

Created by Lambert iGEM // CALM, the Cholera Artificial Learning Model: a system of four extreme-gradient-boosting (XGBoost) machine learning models that, in tandem, are able to forecast the exact number of cholera cases any given Yemeni governorate will experience for multiple time intervals ranging from 2 weeks to 2 months.

License

Notifications You must be signed in to change notification settings

igemsoftware2018/Lambert_GA_CALM

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

30 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

CALM

http://2018.igem.org/Team:Lambert_GA/Software?

Founder and Developer of CALM - Rohil Badkundri

We have been able to construct CALM, the Cholera Artificial Learning Model, a system comprised of four extreme-gradient-boosting (XGBoost) machine learning models that, working together, forecast the exact number of cholera cases any given Yemeni governorate will experience for multiple time intervals ranging from 2 weeks to 2 months.

The necessary data input files were unfortunately too large to be uploaded (exceeded GitHub's allowed limit). Please email [email protected] for access

The files included parse and process the relevant data files, extract features, select features, tune hyperparameters, and deploy the model

About

Created by Lambert iGEM // CALM, the Cholera Artificial Learning Model: a system of four extreme-gradient-boosting (XGBoost) machine learning models that, in tandem, are able to forecast the exact number of cholera cases any given Yemeni governorate will experience for multiple time intervals ranging from 2 weeks to 2 months.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published