statsmodels.tools.eval_measures.mse(x1, x2, axis=0)
[source]
mean squared error
Parameters: 


Returns: 
mse – mean squared error along given axis. 
Return type: 
ndarray or float 
If x1
and x2
have different shapes, then they need to broadcast. This uses numpy.asanyarray
to convert the input. Whether this is the desired result or not depends on the array subclass, for example numpy matrices will silently produce an incorrect result.
© 2009–2012 Statsmodels Developers
© 2006–2008 Scipy Developers
© 2006 Jonathan E. Taylor
Licensed under the 3clause BSD License.
http://www.statsmodels.org/stable/generated/statsmodels.tools.eval_measures.mse.html