xesn.optimize

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xesn.optimize#

xesn.optimize(cost_function, **kwargs)#

A simple interface with EGO to perform Bayesian Optimization and solve for an optimal parameter set. See this page of the documentation for example usage.

Parameters:

  • cost_function – a created CostFunction obect

  • **kwargs – passed to EGO, see possible options here

Returns:

params_opt (dict) – with keys as parameter names and values as the determined optimal parameter values

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