Use BayesOPT to optimize categorical variables

[csjtx1021]

Hey Ruben,
Sorry to disturb you. I have a question about categorical variables. My inputs are 8 binary variables (0/1).
Here is the running status and the results.

bayesopt1.txt
log1.txt
bayesopt2.txt
log2.txt

When "mParameters.noise" is small e.g. 1e-10, there is a error in log1.txt. But when "mParameters.noise" is equal to 1.0, there is not any error. Why did this happen ? This question has been bothering me for a long time. Have a favor.

Thanks a lot.

Cui

[rmcantin]

Bayesian optimization relies on regression models to model the response function. In the case of pure binary variables, the regression model does not makes sense.

Why do you use POI instead of the default EI?

[rmcantin]

Closed after no feedback