Wolfram Language & System 11.0 (2016)|Legacy Documentation

This is documentation for an earlier version of the Wolfram Language.View current documentation (Version 11.2)

BayesianMaximizationObject

BayesianMaximizationObject[]
represents the result of a Bayesian maximization process.

Details and OptionsDetails 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

ExamplesExamplesopen allclose all

Basic Examples  (1)Basic Examples  (1)

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

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Use the BayesianMaximizationObject[] to find the available properties:

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Get the estimated maximum configuration:

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Get the estimated maximum value:

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

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Get information about the method used to explore configurations:

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

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

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Get information about a list of properties simultaneously:

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

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Introduced in 2016
(11.0)