A Powerful Python Library for Causal Inference
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Updated
Sep 9, 2022 - Python
A Powerful Python Library for Causal Inference
Memo's research works.
A Python implementation of the do-calculus of Judea Pearl et al.
Causing: CAUsal INterpretation using Graphs
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
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