I am trying to implement pAUC above 80% true positive rate (TPR) for binary classification in TensorFlow. pAUC is often regarded as better metric than AUC for assessing performance of binary classifiers. In a previous post (How to implement calculating pAUC and its derivatives in python?), there was no answer.