the training dataset to 5 and then we could simply sample with ancestral sampling we could sample at theta from the prior sample 5 from this distribution and and and get get a get a sampled 5 and so the key idea is what we can do here is we can approximate this distribution Phi given theta and D train as a a point estimate using map of course this is extremely crude approximation similar to the one that we use in mammal but it's also extremely convenient and in particular if we do this approximation we can still get