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I am implementing a constraint which causes a lot of parameter combinations to be unfeasible. I would love the sampler to respond by widening the search space for the parameters. In other words, not try to converge to the local optimum any longer but introduce more variance.
What effect do pruned trials have on the TPE Sampler?
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I am implementing a constraint which causes a lot of parameter combinations to be unfeasible. I would love the sampler to respond by widening the search space for the parameters. In other words, not try to converge to the local optimum any longer but introduce more variance.
What effect do pruned trials have on the TPE Sampler?
Thank you very much
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