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We want to make sure we have a minimization problem in all of our optimization contexts. We should follow autosklearn, in particular here.
This has to apply to individual models loss calculation (train evaluator, test evaluator) but also in the ensemble builder. Also calculate_score has to be update to return the real function value, not the result of the scorer, which is always a maximization problem.
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enhancementNew feature or requestNew feature or request