CausalML: Python Package for Causal Machine Learning

2020-02-25 · Huigang Chen, Totte Harinen, Jeong-Yoon Lee, Mike Yung, Zhenyu Zhao

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.

📄 PDF Abstract BibTeX arXiv:2002.11631

Code (2)

datacoe-publicissapient/risingai2020

uber/causalml tf

Tasks

BIG-bench Machine Learning Causal Inference

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