CausalML

Causal ML; CausalML: Python Package for Causal Machine Learning. CausalML is a Python implementation of algorithms related to causal inference and machine learning. Algorithms combining causal inference and machine learning have been a trending topic in recent years. This package tries to bridge the gap between theoretical work on methodology and practical applications by making a collection of methods in this field available in Python. This paper introduces the key concepts, scope, and use cases of this package.

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References in zbMATH (referenced in 1 article , 1 standard article )

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  1. Huigang Chen, Totte Harinen, Jeong-Yoon Lee, Mike Yung, Zhenyu Zhao: CausalML: Python Package for Causal Machine Learning (2020) arXiv