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

Adding to above answers, I got the error "ValueError: bad input shape ...", so I specify the vector of probabilities as follows:

y_pred = model.predict_proba(x_test)[:,1]
auc = roc_auc_score(y_test, y_pred)
print(auc)