This function returns a list with the (default) hyperparameters used in the EAM algorithm
set.EAM.hyperparameters(options)List of hyperparameters for the EAM algotithm.
A list of user-specified values for (some of) the hyperparameters. These hyperparameters can include:
The minimum/maximum distance of sampled points from the current best value for the coefficient of interest.
The minimum/maximum number of points evaluated in the initial feasible point search.
The total number of drawn points required in the initial drawing process.
The total number of uniformly drawn points in the initial set of starting values.
Number of points sampled per iteration in the initial drawing process.
Number of starting values for which to run the optimization algorithm for the expected improvement.
Number of optimal theta values found by the optimization algorithm to return.
Number of extra randomly drawn points to add to the set of optimal theta values (to be supplied to the next E-step).
Minimum amount that the current best root of the violation curve should improve by wrt. the its previous value.
Minimum amount that the next iteration should be able to improve upon the current best value of the root.
Minimum amount of EAM iterations to run.
Maximum amount of EAM iterations to run.