Hi Jonathan,
I infer from your question that you need a way to save the value of “XAtMinObjective” for each iteration. There is a built-in output function which can do this. You need to add the following line to your code to use it.
results = bayesopt(myFunction, vars,'OutputFcn',@saveToFile,'SaveFileName','myFile.mat')
This line performs the following functions:
- “saveToFile” is a built-in output function which saves the results of each stage to a file
- The file name is specified by the name value pair of ‘SaveFileName’
- The object that is saved in this case is a “BayesianOptimization” instance.
You can access the “XAtMinObjective” property of the results using the following line of code:
minValue = result.XAtMinObjective;
Here, “result” is the saved “BayesianOptimization” instance.
You can find more information about the “BayesianOptimization” object here:
For details about the built-in output functions for Bayesian Optimization refer the following links:
- Types of built-in functions: https://www.mathworks.com/help/stats/bayesian-optimization-output-functions.html#bvaz800-1:~:text=of%20the%20optimization.-,Built%2DIn,-Output%20Functions
- Syntax and Usage: https://www.mathworks.com/help/stats/bayesopt.html#d126e159918:~:text=Data%20Types%3A%20double-,OutputFcn,-%E2%80%94%20Function%20called
I hope it helps,
Regards,
Avadhoot.
