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.
The change to "dummy_outcome" was lost in the refactor, because the refactor extracted the outcome variable from target_estimand. Now creating a copy of the target_estimand.
The change to "dummy_outcome" was lost in the refactor, because the refactor extracted the outcome variable from target_estimand. Now creating a copy of the target_estimand.
Fixes #1006