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

This isn't part of numpy, but it will work with numpy.ndarray objects. A numpy.matrix can be converted to a numpy.ndarray and a numpy.ndarray can be converted to a numpy.matrix.

from sklearn.metrics import mean_squared_error
mse = mean_squared_error(A, B)

See Scikit Learn mean_squared_error for documentation on how to control axis.