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.
causal identifier init.py now gives access to construct_iv_estimand, construct_frontdoor_estimand, and construct_backdoor_estimand functions available on auto_identifier.py
causal identifier init.py now gives access to construct_iv_estimand, construct_frontdoor_estimand, and construct_backdoor_estimand functions available on auto_identifier.py