When we want to learn only one conditional statistic of y given x, instead of learning a full probability distribution p(y | x;θ), we can use a cost functional instead of just a cost function. In this way, we can view learning as choosing a function instead of choosing a set of parameters and our cost functional can be designed to have its minimum occur at a desired specific function.