graphical model that represents this relationship so you have theta which are your global metal earned parameters for every task you have a Phi I and X train together with Phii determines y train and X tests together with Phii determines Y test and Y test is observed during meta training but not observed during that a testing that's why it's kind of half shaded there okay so this basically defines the meta learning problem but let's kind of round out this explanation with a little bit of an overview of terminology because