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.
Before, the Support Vector Classifier did not produce probabilities, which are required for different algorithms in the GCM module. This changes the 'probability' parameter to True.
Before, the Support Vector Classifier did not produce probabilities, which are required for different algorithms in the GCM module. This changes the 'probability' parameter to True.