1. A method comprising: statistically sampling a set of animation data for an element in an animation to obtain a common context, the common context being a subset of a plurality of frames of a set of animation data; comparing output of a data-driven model for the animation, which utilizes at least a subset of the common context, with output of a computational model for the animation, the computational model having a first set of logic, the data-driven model having a second set of logic that has less logic than the first set of logic; and computing an error between the computational model and the data-driven model.