causalml
Uplift modeling and causal inference with machine learning algorithms
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Disclaimer This project is stable and being incubated for long-term support. It may contain new experimental code, for which APIs are subject to change. Causal ML: A Python Package for Uplift Modeling and Causal Inference with ML Causal ML is a Python package that provides a suite of uplift modeling and causal inference methods using machine learning algorithms based on recent research [[1]](#Literature). It provides a standard interface that allows user to estimate the Conditional Average Treatment Effect (CATE) from experimental or observational data. Essentially, it estimates the causal impact of intervention T on outcome Y for users with observed features X, without strong…
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