Generalized relative entropy

Generalized relative entropy is a measure of how different two probability distributions are. It is a way to tell how far apart two distributions are from each other. Think of it like a measure of the distance between two distributions. For example, if two distributions are very similar, their generalized relative entropy would be small. But if two distributions are very different, their generalized relative entropy would be large.