  We use machine learning to predict the dimension of a lattice polytope
directly from its Ehrhart series. This is highly effective, achieving almost
100% accuracy. We also use machine learning to recover the volume of a lattice
polytope from its Ehrhart series, and to recover the dimension, volume, and
quasi-period of a rational polytope from its Ehrhart series. In each case we
achieve very high accuracy, and we propose mathematical explanations for why
this should be so.
