Skip to content

unshrink: post-hoc debiasing of machine learning predictions to reduce shrinkage-induced attenuation bias in downstream causal inference, without requiring fresh ground-truth data - enabling a "one map, many trials" paradigm [Python]

License

Notifications You must be signed in to change notification settings

AIandGlobalDevelopmentLab/unshrink

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

18 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

unshrink logo

Example

debiaser = TweedieDebiaser()
debiaser.fit(cal_predictions, cal_targets)
debiased_predictions = debiaser.debiased_predictions(predictions)

About

unshrink: post-hoc debiasing of machine learning predictions to reduce shrinkage-induced attenuation bias in downstream causal inference, without requiring fresh ground-truth data - enabling a "one map, many trials" paradigm [Python]

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published