Paulo Galuzio

Hey, thanks! I guess I could do it by including an extra parameter at the __init__ method of the class, in which case you could give a kernel object to...

I was thinking more of something like: ```python def __init__(self, ..., kernel=None): if kernel is None: self._kernel = Matern(nu) # current default else: self._kernel = kernel self.GP[i] = GPR(kernel=self._kernel) ```...

Hi, yeah, I just didn't have time to test it yet, but it should work without a problem. You just define the any kernel from sklearn, the argument is passed...

Hello, In principle, there is no need to normalize the objectives. Consider for example the case in which your objectives are very expensive black boxes, you probably wouldn't even know...

Hi, Can you post the full stack trace of the error?

Hello, thank you. The package currently does not support discrete variables, however, I believe that it could be implemented with minor changes. There are approaches that involve only modification of...

I haven't made tests with categorical variables myself, however I think [this reference](https://www.sciencedirect.com/science/article/abs/pii/S0925231219315619) presents a pretty good discussion about the topic and how to implement it in a Bayesian context....

Hello, sorry I couldn't answer before. I haven't had time to work on this project lately, but I'll try to see to your problem. So, were you able to solve...

Hello @Stephocke , Good to hear that you managed to make the necessary adjustments. I would love to see how you did it. Looking forward to see your paper. I...

Hello, thank you for using the code, I am happy to know it is being useful. About your question, I think what could be done is to wrap the GP...