试用软件

Prediction of the expected improvement after getting the Bayesopt result output.

4 次查看（过去 30 天）

显示更早的评论

Abdelmajid Ben yahya 2024-2-7

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/2079151-prediction-of-the-expected-improvement-after-getting-the-bayesopt-result-output

回答： Umang Pandey 2024-2-13

I conducted a Bayesian optimization process using the Bayesopt function, which concluded after 250 iterations. The process generated an output file containing various pieces of information. From this file, I understand that predictions at any given point can be made using the "predictObjective" or "predictConstraints" functions. However, I am interested in predicting the current values of the acquisition function used during the Bayesopt process. Is there a method to achieve this?

0 个评论
显示 -2更早的评论隐藏 -2更早的评论

请先登录，再进行评论。

请先登录，再回答此问题。

回答（1 个）

Umang Pandey 2024-2-13

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/2079151-prediction-of-the-expected-improvement-after-getting-the-bayesopt-result-output#answer_1407678

Hi,

From what I understand, you want to obtain the acquisition function values while implementing "bayesopt".

Refer to the following documentation which explains the "Bayesian Optimization Algorithm" that might be of help to you :

https://www.mathworks.com/help/stats/bayesian-optimization-algorithm.html

Hope this helps!

Best,

Umang

0 个评论
显示 -2更早的评论隐藏 -2更早的评论

请先登录，再进行评论。

请先登录，再回答此问题。

类别

AI and Statistics Statistics and Machine Learning Toolbox Classification Model Building and Assessment

在 Help Center 和 File Exchange 中查找有关 Model Building and Assessment 的更多信息

标签

产品

MATLAB

版本

R2023b

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Translated by

试用软件