debiaser = TweedieDebiaser()
debiaser.fit(cal_predictions, cal_targets)
debiased_predictions = debiaser.debiased_predictions(predictions)
-
Notifications
You must be signed in to change notification settings - Fork 0
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
AIandGlobalDevelopmentLab/unshrink
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
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 0
No packages published
