Difference between training and test data distributions
A good way to measure the difference between two probabilistic distributions is Kullbak-Liebler. You have to take into account that the distribution has integrate to one. Also you have to take into account that it's not a distance because it's not symmetric. KL(A,B) not equal to KL(B,A)