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I want to solve a maximization problem with GPyOpt, but I do not know what changes are needed for this goal? If we have an analytic function like f converting f to (-1)*f will work, however, when we have only some observations of f, how we should deal with this problem?
The text was updated successfully, but these errors were encountered:
Just present the negative of the observation.
On 20 May 2016 13:55, "Ali Baheri" notifications@github.com wrote:
I want to solve a maximization problem with GPyOpt, but I do not know what
changes are needed for this goal? If we have an analytic function like f
converting f to (-1)*f will work, however, when we have only some
observations of f, how we should deal with this problem?
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I want to solve a maximization problem with GPyOpt, but I do not know what changes are needed for this goal? If we have an analytic function like f converting f to (-1)*f will work, however, when we have only some observations of f, how we should deal with this problem?
The text was updated successfully, but these errors were encountered: