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Bayesian optimization for Julia

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Hi, thanks for this great package. Do you have hybrid BO with discrete and continuous variables planned? I recently came across https://arxiv.org/pdf/2106.04682.pdf and it discusses an interesting approach so I...

Similarly to a previous issue #21 https://github.com/jbrea/BayesianOptimization.jl/blob/5ce078b50c1447860e5465eae0fe0be0600b671a/src/acquisitionfunctions.jl#L48 I noticed that given that the variance is 0 you may return `μ - a.τ`` if this difference is positive and otherwise 0....

Using the full posterior distribution with the hyperparameters as unknown variables is known to give better results in Bayesian optimization (see https://arxiv.org/pdf/1206.2944.pdf). A user could opt-in to using this technique...

Add implementations for the q- class of acquisition functions (i.e. q-EI), which return a set of q query points which are then run in parallel on the function. I think...

This pull request changes the compat entry for the `NLopt` package from `0.4, 0.5, 0.6` to `0.4, 0.5, 0.6, 1`. This keeps the compat entries for earlier versions. Note: I...

Hi! I would like to collect some opinions on whether it is reasonable to additionally adopt ask-tell interface like in Dragonfly ([docs here](https://dragonfly-opt.readthedocs.io/en/master/getting_started_ask_tell/)) in the future. I think that this...

Hi, are there any opinions on code formatting to make this project look more consistent and readable? I would suggest to use [the formatting feature ](https://www.julia-vscode.org/docs/stable/userguide/formatter/#Formatting-Code) of VSCode with Julia...

Hello! Thank you very much for developing such an excellent tool :) I have a couple of questions that arose while running one of the example files. I noticed that...