statsmodels.tools.eval_measures.iqr¶
-
statsmodels.tools.eval_measures.
iqr
(x1, x2, axis=0)[source]¶ interquartile range of error
rounded index, no interpolations
this could use newer numpy function instead
Parameters: 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
Returns: mse : ndarray or float
mean squared error along given axis.
Notes
If
x1
andx2
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.