论文标题
Causalml：用于因果机器学习的Python软件包
CausalML: Python Package for Causal Machine Learning
论文作者
论文摘要
Causalml是与因果推理和机器学习有关的算法实现的Python。近年来，结合因果推理和机器学习的算法一直是一个流行的话题。该软件包试图通过在Python中提供一系列方法来弥合方法论和实际应用的理论工作之间的差距。本文介绍了此软件包的关键概念，范围和用例。
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.
