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.
pass the variable 'categorical' instead of the method 'is_categorical'
Based on the context of the codes, the variable 'categorical' should be passed in the function call of '_estimate_conditional_expectations' instead of the method 'is_categorical'
pass the variable 'categorical' instead of the method 'is_categorical'
Based on the context of the codes, the variable 'categorical' should be passed in the function call of '_estimate_conditional_expectations' instead of the method 'is_categorical'