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, numeric arrays with the wrong dtype would cause an error when summing them up and using np.isclose. Now, the dtype is explicitly changed to float64.
Before, numeric arrays with the wrong dtype would cause an error when summing them up and using np.isclose. Now, the dtype is explicitly changed to float64.