high_conf_stop

Utility functions for the high confidence stopping rule.

This stopping criterion operates by estimating the amount of missing optima, and stops once the estimated mass of missing optima is within an acceptable range, given some confidence.

Functions

num_one_occurrences(observed_obj_vals, tolerance)	Determines the number of optima that have only been observed once.
should_stop(solutions, stopping_mass, ...)	Determines if the missing mass of unseen local optima is acceptable based on the High Confidence stopping rule.