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Architectural patterns for decoupling parameter requests from result reporting to enable parallel objective evaluations.
Distinct from Request Parameter Management: Distinct from API request parameters; this is about the asynchronous flow of an optimization engine.
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Nevergrad is a gradient-free optimization library and hyperparameter optimization framework designed to find the minimum of objective functions without using derivatives. It serves as an asynchronous optimization engine that decouples parameter suggestions from result reporting to support parallel function evaluations. The project specializes in multi-objective optimization to identify Pareto fronts for competing goals and provides a suite for benchmarking the performance and convergence of different optimization routines. It supports black-box system optimization, enabling the tuning of exte
Requests suggested parameters and reports resulting values asynchronously to facilitate parallel execution.