pysot (conda): pySOT is an asynchronous parallel optimization toolbox for global deterministic optimization problems. The main purpose of the toolbox is for optimization of computationally expensive black-box objective functions with continuous and/or integer variables where the number of evaluations is limited. If there are several processors available it may make sense to evaluate the objective function using either asynchronous or synchronous parallel. pySOT uses the event-driven framework for asynchronous optimization strategies POAP (https://github.com/dbindel/POAP) to provide this functionality.
Keywords: asynchronous|bayesian-optimization|black-box-optimization|gaussian-processes|global-optimization|global-optimization-algorithms|optimization|radial-basis-function|surrogate-based-optimization|surrogate-models