Real-world uses

Created for this library

1. 1.

   A research team checks whether examples in its dataset are i.i.d. before assuming standard error bounds on its evaluation metrics.

2. 2.

   A risk modeling team flags that its time-series data violates i.i.d. assumptions and uses time-ordered cross-validation accordingly.

3. 3.

   A clinical trial team monitors whether patient records are reasonably i.i.d. when training a model so confidence intervals are not misleading.