How to apply the acquisition function to a subset of the parameters being optimized?

[jwbrooks0]

Question
Imagine that you have an optimization problem you're working on, and it has 2 parameters that you are optimizing. It also has an output-parameter that you can't control but has some relevance on how the system chooses the first 2 parameters. What I want to do is add all three parameters (2 input and 1 output) parameters into the GP model but then only apply the acquisition function to the 2 input parameters (because these are the only 2 I can change) at whatever value of the 3rd parameter I specify. Does this make sense? Is there a way to do this with scikit-optimize?

Big fan of your work! Thanks for doing all this.

Edit:
I'm moving this question to stack-exchange:
https://stackoverflow.com/questions/78347081/how-to-apply-the-acquisition-function-to-a-subset-of-the-parameters-being-optimi