I was trying the example codes, but I'm struggling to find the piece where epistemic and aleatoric uncertainty are outputted somehow from the Macest model. I tried the method 'macest_model.predict_confidence_of_point_prediction(X_test)' but it just returns the class probability of the predicted class.
Can you provide some code examples on how to extract epistemic and aleatoric uncertainty?
Hi all,
I was trying the example codes, but I'm struggling to find the piece where epistemic and aleatoric uncertainty are outputted somehow from the Macest model. I tried the method 'macest_model.predict_confidence_of_point_prediction(X_test)' but it just returns the class probability of the predicted class.
Can you provide some code examples on how to extract epistemic and aleatoric uncertainty?
Thanks
Edit:
Ok, I solved it :D 👍