How to compute Receiving Operating Characteristic (ROC) and AUC in keras?

Question

I have a multi output(200) binary classification model which I wrote in keras.

In this model I want to add additional metrics such as ROC and AUC but to my knowledg

Answer 1

I solved my problem this way

consider you have testing dataset x_test for features and y_test for its corresponding targets.

first we predict targets from feature using our trained model

 y_pred = model.predict_proba(x_test)

then from sklearn we import roc_auc_score function and then simple pass the original targets and predicted targets to the function.

 roc_auc_score(y_test, y_pred)