bayesmark
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Is it possible to add new optimization problems?
Instead of using the sklearn models, is it possible to add new optimization problems in bayesmark?
of course, bayesmark is a benchmark for different optimization algorithms, and it provides a set of uniform interfaces to access these algorithms.