, x2, axis=0)[source]

interquartile range of error

rounded index, no interpolations

this could use newer numpy function instead


x1, x2 : array_like

The performance measure depends on the difference between these two arrays.

axis : int

axis along which the summary statistic is calculated


mse : ndarray or float

mean squared error along given axis.


If x1 and x2 have different shapes, then they need to broadcast.

This uses numpy.asarray to convert the input, in contrast to the other functions in this category.