samples from PFI given the training data and in fact we can to do this approximation we can use the same gradient based map approximation as shown before but we don't require we don't require doing the intractable integral at the top okay so at test time what this corresponds to is we'll have initial set of parameters theta will add noise to sample will add noise so that that parameter vector to basically sample a new theta and then we will run gradient descent from there so it's essentially a way to make mammal