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improvementImprovement that don't change the behaviour for a userImprovement that don't change the behaviour for a userperformanceTemporal/memory performance of the algorithmTemporal/memory performance of the algorithm
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Currently, the one-shot option is implemented by running the HyperOpt stage only once, so the setup values are automatically put in the best_bps_model variable.
To improve performance, might be interesting to avoid running HyperOpt stages and directly take the setup values as the final ones. This is, directly jump to the discovery of the final_bps_model.
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improvementImprovement that don't change the behaviour for a userImprovement that don't change the behaviour for a userperformanceTemporal/memory performance of the algorithmTemporal/memory performance of the algorithm