MATLAB Answers

How to using bayesopt function for a GP model

10 views (last 30 days)
zhikun ruan
zhikun ruan on 20 Jun 2019
Commented: zhikun ruan on 22 Jun 2019
Hi, I need to use bayesopt function for a GP model but it returns NaN and Error. I used the code below and the x is a 2 * n matrix and y is a 1*n matrix. Can anyone help me?
num = optimizableVariable('n',[1,10],'Type','integer');
dst = optimizableVariable('dst',{'chebychev','euclidean','minkowski'},'Type','categorical');
results = bayesopt(@(params)fitrgp(x',y,'Sigma',0.1),[num,dst],'Verbose',0,...


Sign in to comment.

Accepted Answer

Don Mathis
Don Mathis on 21 Jun 2019
It looks like you're basing your code on this example, which is a good starting point:
But it seems you removed some important parts, like the call to kfoldLoss for example.
I would recommend starting with that example and making incremental changes to turn it into a solution to your problem. And reading the bayesopt documentation.

  1 Comment

zhikun ruan
zhikun ruan on 22 Jun 2019
Thanks Don. I found your answers in other problems are very helpful. Thank you very much.

Sign in to comment.

More Answers (0)