Jan. 8, 2024, 12:12 p.m. | /u/ale152

Machine Learning www.reddit.com

Hello everyone, I'm working on a problem where I need to find the best set of parameters (10 of them) that optimises a very costly objective function. Normally, I would use a Bayesian optimisation, but in this specific case, I don't have access to the actual objective function, the only thing that I can calculate is weather the function is higher with a certain set of parameters A or B. I don't know how the actual values of the function, …

bayesian case function hello machinelearning normally optimisation optimization parameters set them

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