input a deterministic function that produces one output and some cost function here that measures the discrepancy if this cost function is only zero when when the prediction and the observation are the same then this guy can only predict the average now to me to come back to your point if you make this cost function complicated in such a way that it doesn't compare points but it compares then you know distribution so example then yes but then that becomes complicated that's what adversarial training is about you