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.
This PR intends to add tests from the book "Causal Inference and Discovery In Python" (link) in order to ensure backwards compatibility to future releases of doWhy
This PR intends to add tests from the book "Causal Inference and Discovery In Python" (link) in order to ensure backwards compatibility to future releases of doWhy
Related issue: https://github.com/py-why/dowhy/issues/970