Comments (5)
Or maybe what I need is just a function to "return" the objective value so I can just do the loop manually and "return" the value to the two studies.
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Oh wow I just realized it exists now with study.ask and study.tell! Guess I'll just try this.
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Oh I just realized the different datasets will have different objective value scale and distribution. This won't work unless it's handled, and I don't have any idea how or if it's even possible at all.
Maybe it can be done at sampler level when it separates the good and bad parameters.
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The optuna way to do that is to use conditional search space. optuna.samplers.TPESampler
with multivariate=True
option does handle each group of parameters in multivariate way.
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As for optuna-dashboard support, there are issues like optuna/optuna-dashboard#734.
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Related Issues (20)
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