1Blurb:: 2Experimental auto-refinement of surrogate model 3 4Description:: 5(Experimental option) Automatically refine the surrogate model until 6desired cross-validation quality is achieved. Refinement is accomplished 7by iteratively adding more data to the training set until the cross-validation 8\c convergence_tolerance is achieved, or \c max_function_evaluations or 9\c max_iterations is exceeded. 10 11The amount of new training data that is incorporated each iteration is specified 12in the DACE method that is referred to by the model's \c dace_method_pointer. 13See \ref method-sampling-refinement_samples for more information. 14 15Topics:: 16surrogate_models 17Examples:: 18 19Theory:: 20Faq:: 21See_Also:: 22