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.
Since we now use the KCI implementation of an external package, we don't need these tests anymore.
This commit also makes a regression_based unit test less flaky.
Since we now use the KCI implementation of an external package, we don't need these tests anymore. This commit also makes a regression_based unit test less flaky.