How to convert objection function into maths?

I have used Bayesian optimization to optimize the machine learning parameters. The objection fuction is written in MATLAB as:

minfn = @(T)kfoldLoss(XTrain', YTrain', cv, T.hiddenLayerSize,T.LearningRate);

Now i want to convert this objective function into mathematical form.

Any help in this regard would be highly appreciated.

Answer 1

[Athul Prakash]

You may run the optimization by calling 'bayesopt' function on 'minfn'. See the doc linked below for more details, the examples might be particularly useful to you.

https://in.mathworks.com/help/stats/bayesopt.html

If you wish to get it in mathematical form, kindly explain exactly what it is you're looking for: do you want to obtain an equation for the optimization problem?.. an equation of the Objective function? Kindly provide some details.

[Ali]

Thank you athul. I have already gone through from above shared link about Baysopt. I want to contruct an equation for optimization problem based on objective function.

Actually i am optimizing the two neural network parameters (Hidden layers and learning rate) with Bayesopt function. Based on these two parameters aand bayesopt, i want to contruct mathemathical equation to inform other audience what i have done.