predictions about new data points and then theta G can be something very high dimensional and with the combination of the two we'll be able to make predictions for a new task okay so the general form of what this looks like is you can kind of abstract oh wait is this notion of H and just write out the ability to make predictions given a training data set and a new test input outputting the corresponding label okay before I move on to the next type of approach are there any questions so the one question from the audience was does