WOLFRAM

Wolfram Language & System Documentation Center
Wolfram Language Home Page »

BayesianMaximizationObject
✖
BayesianMaximizationObject

[Experimental]

✖

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

Examples

Basic Examples  (1)Summary of the most common use cases

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

In[1]:=1
✖
https://wolfram.com/xid/01lzdbpgbv30grvrm-p88lop
Out[1]=1

Use the BayesianMaximizationObject[…] to find the available properties:

In[2]:=2
✖
https://wolfram.com/xid/01lzdbpgbv30grvrm-3yixwx
Out[2]=2

Get the estimated maximum configuration:

In[3]:=3
✖
https://wolfram.com/xid/01lzdbpgbv30grvrm-jrg5li
Out[3]=3

Get the estimated maximum value:

In[4]:=4
✖
https://wolfram.com/xid/01lzdbpgbv30grvrm-2nzyd4
Out[4]=4

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

In[5]:=5
✖
https://wolfram.com/xid/01lzdbpgbv30grvrm-ixjk4t
Out[5]=5

Get information about the method used to explore configurations:

In[6]:=6
✖
https://wolfram.com/xid/01lzdbpgbv30grvrm-j9trvs
Out[6]=6

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

In[7]:=7
✖
https://wolfram.com/xid/01lzdbpgbv30grvrm-y3emkq
Out[7]=7

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

In[8]:=8
✖
https://wolfram.com/xid/01lzdbpgbv30grvrm-142xj3
Out[8]=8

Get information about a list of properties simultaneously:

In[9]:=9
✖
https://wolfram.com/xid/01lzdbpgbv30grvrm-7hjgb7
Out[9]=9

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

In[10]:=10
✖
https://wolfram.com/xid/01lzdbpgbv30grvrm-0v8jhe
Out[10]=10
Wolfram Research (2016), BayesianMaximizationObject, Wolfram Language function, https://reference.wolfram.com/language/ref/BayesianMaximizationObject.html.
✖
Wolfram Research (2016), BayesianMaximizationObject, Wolfram Language function, https://reference.wolfram.com/language/ref/BayesianMaximizationObject.html.

Text

Wolfram Research (2016), BayesianMaximizationObject, Wolfram Language function, https://reference.wolfram.com/language/ref/BayesianMaximizationObject.html.

✖
Wolfram Research (2016), BayesianMaximizationObject, Wolfram Language function, https://reference.wolfram.com/language/ref/BayesianMaximizationObject.html.

CMS

Wolfram Language. 2016. "BayesianMaximizationObject." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/BayesianMaximizationObject.html.

✖
Wolfram Language. 2016. "BayesianMaximizationObject." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/BayesianMaximizationObject.html.

APA

Wolfram Language. (2016). BayesianMaximizationObject. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/BayesianMaximizationObject.html

✖
Wolfram Language. (2016). BayesianMaximizationObject. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/BayesianMaximizationObject.html

BibTeX

@misc{reference.wolfram_2025_bayesianmaximizationobject, author="Wolfram Research", title="{BayesianMaximizationObject}", year="2016", howpublished="\url{https://reference.wolfram.com/language/ref/BayesianMaximizationObject.html}", note=[Accessed: 25-March-2025 ]}

✖
@misc{reference.wolfram_2025_bayesianmaximizationobject, author="Wolfram Research", title="{BayesianMaximizationObject}", year="2016", howpublished="\url{https://reference.wolfram.com/language/ref/BayesianMaximizationObject.html}", note=[Accessed: 25-March-2025 ]}

BibLaTeX

@online{reference.wolfram_2025_bayesianmaximizationobject, organization={Wolfram Research}, title={BayesianMaximizationObject}, year={2016}, url={https://reference.wolfram.com/language/ref/BayesianMaximizationObject.html}, note=[Accessed: 25-March-2025 ]}

✖
@online{reference.wolfram_2025_bayesianmaximizationobject, organization={Wolfram Research}, title={BayesianMaximizationObject}, year={2016}, url={https://reference.wolfram.com/language/ref/BayesianMaximizationObject.html}, note=[Accessed: 25-March-2025 ]}