Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.
The implementation of the multi-class Brier score makes all the targets 1 instead of creating a one-hot vector for each sample. I changed the code to
for i in range(len(y_true)):y_target[i, y_true[i]] = 1.0
The implementation of the multi-class Brier score makes all the targets 1 instead of creating a one-hot vector for each sample. I changed the code to
for i in range(len(y_true)):
y_target[i, y_true[i]] = 1.0
instead of
y_target[:, y_true] = 1.0