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E.g. my optimization happens over a simplex. One possibility is to map from the hypercube to the simplex using a trafo, but that would mean the surrogate model fits the performance over hypercube, which could give a poorer fit than if we could fit the model to the performance over simplex coordinates directly. An idea would be to have a transformation that happens between sampling/optimization and model fitting.
The text was updated successfully, but these errors were encountered:
E.g. my optimization happens over a simplex. One possibility is to map from the hypercube to the simplex using a trafo, but that would mean the surrogate model fits the performance over hypercube, which could give a poorer fit than if we could fit the model to the performance over simplex coordinates directly. An idea would be to have a transformation that happens between sampling/optimization and model fitting.
The text was updated successfully, but these errors were encountered: