The requirement is a
integer roughly proportional to how much computational effort was used
(e.g., number of iterations, number of model evaluations, CPU-seconds).
This is "effectively a label that allows one method to provide multiple estimates with more or less computational effort."
Maybe number of likelihood evaluations is the easiest metric
Yeah, number of DNest iterations is probably best. This will equal the number of likelihood evaluations if you structure things in the standard way so that log_likelihood() computes the log likelihood from scratch.
The requirement is a integer roughly proportional to how much computational effort was used (e.g., number of iterations, number of model evaluations, CPU-seconds).
This is "effectively a label that allows one method to provide multiple estimates with more or less computational effort."
Maybe number of likelihood evaluations is the easiest metric