Mean Squared Error in Numpy?

Question

Is there a method in numpy for calculating the Mean Squared Error between two matrices?

I\'ve tried searching but found none. Is it under a different name?

I

Answer 1

Just for kicks

mse = (np.linalg.norm(A-B)**2)/len(A)