Bayesian optimization to find optimal values of GPR model
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Hi, guys, I am using the Bayesian optimization to find the optimal values (minimum) in a GPR model. I found lots of examples to do the hyperparameters tuning. But I want to find optimal values of a GPR model with given range of input values. Is that feasible through Bayesian optimization. If it is, how to do it? Thanks.
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