Hi all,
I have built a neural network that predicts the values of a continuous variable using using Edward.
I can make predictions about the expected value of the output variable eg:
res=np.vstack([sess.run(y_post,{x_data: x}) for _ in range(nSamp)])
Is is also possible to use Edward to predict the conditional probability that the the output (res) is greater than a specified threshold value?
eg that for a given input vector what is the probability that will have a value > threshold.
Many thanks for your assistance.