represents the result of a Bayesian maximization process.

Details and Options

  • BayesianMaximizationObject[] is the result generated by BayesianMaximization[].
  • BayesianMaximizationObject[][prop] gives the property prop of the Bayesian maximization object.
  • BayesianMaximizationObject[][{prop1,prop2,}] gives the list of properties {prop1,prop2,}.
  • Possible properties for the minimization of a function f include:
  • "EvaluationHistory"configurations and values explored during maximization
    "MaximumConfiguration"configuration found that maximizes the result from f
    "MaximumValue"estimated maximum value obtained from f
    "Method"method used for Bayesian maximization
    "NextConfiguration"configuration to sample next if maximization were continued
    "ObjectiveFunction"original function f being maximized
    "PredictorFunction"best prediction model found for the function f
    "Properties"list of all available properties


Basic Examples  (1)

Maximize a function over an interval region via BayesianMaximization to create a BayesianMaximizationObject[]:

Use the BayesianMaximizationObject[] to find the available properties:

Get the estimated maximum configuration:

Get the estimated maximum value:

Get the list of configurations and function values explored during the maximization:

Get information about the method used to explore configurations:

Get the current probabilistic model of the function (this is a PredictorFunction):

Find the best configuration to explore next according to the model:

Get information about a list of properties simultaneously:

Visualize how well the function is modeled, particularly near the maximum:

Introduced in 2016