JianqiaoMao/mechanism-learn: mechanism-learn-v2.3.2

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Authors: Jianqiao Mao
Cited by: 0

Abstract

Mechanism-learn is a simple method to deconfound observational data such that any appropriate machine learning model is forced to learn predictive relationships between effects and their causes, despite the potential presence of multiple unknown and unmeasured confounding. The library is compatible with most existing ML deployments.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
2 January 2026