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