AdaRankOpt+TR

class globe.optimizers.decision.AdaRankOpt.AdaRankOpt(bounds, n_eval=1000, max_trials=50000, max_degree=15, it_lim=100, trust_region_dict={'bobyqa_eval': 20, 'radius': 0.1}, verbose=False)

Bases: Decision_Optimizer

Interface for the AdaRankOpt optimizer.

Parameters:

• bounds (ndarray) – The bounds of the search space.

• n_eval (int) – The maximum number of function evaluations.

• max_trials (int) – The maximum number of potential candidates sampled at each iteration.

• max_degree (int) – The maximum degree of the polynomial kernel.

• it_lim (int) – The iteration limit for the simplex optimizer.

• trust_region_dict (dict, optional) –

  Dictionary with the following keys:

  radiusfloat

  The trust region radius.

  bobyqa_evalint

  The number of evaluations for the BOBYQA optimizer.

  If None, the trust region is not used.

• verbose (bool) – Whether to print information about the optimization process.