statsmodels.tools.eval_measures.rmse(x1, x2, axis=
root mean squared error
- x1, x2array_like
The performance measure depends on the difference between these two arrays.
axis along which the summary statistic is calculated
x2have different shapes, then they need to broadcast. This uses
numpy.asanyarrayto 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.
Last update: May 17, 2023