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A Python implementation of global optimization with gaussian processes.

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It would be great if we could enter dependencies between parameters for optimization. For example, if I have the parameter bounds: ``` python pbounds = {'a': (0, 5), 'b': (0,...

Hello BayesianOptimization team, Have you any thoughts on an additional option for different optimization routines when calling `acq_max`? My thought was something like this: ``` def acq_max(ac, gp, y_max, bounds,...

Feature Request

Add optional parameter "ptypes" in the BayesianOptimization class in order to indicate le type of each parameter to optimize into a dictionary. For now, every parameters should be typed. The...

Hi! I was reading the README where it says: Take a look at the advanced to our [notebook](https://github.com/fmfn/BayesianOptimization/blob/master/examples/advanced-tour.ipynb) to learn how to make the package more flexible, how to deal...

I have a weird behaviour of the GP with UCB (with noisy data) the posterior of the GP changes completely after a point, e.g. from: ![ucb8 xi 0 0 k...

Hi, I am getting different results on different machines for the same inputs and random seed. Though the results on any single machines are consistent. My questions are - 1....

help wanted

Updated maximization routine to accept constraints using the SLSQP optimizer. Added tests. This resolves issue #94. It looks like the system will still guess outside of the constraints sometimes, but...

The problem I am dealing with has 3 parameters, however, there is a constrained relation between x and y. For example, x+y should always be equal to 4. (x+y=4). ![76dbe67c2a70cb9493f702727c06e4e](https://user-images.githubusercontent.com/86953517/190974364-0a1e62aa-8a5c-4803-ad91-744b6adc9ce9.jpg)...

As has been noted in #158, the code will crash if it is asked to probe a point it has already probed. This condition occurs not infrequently when using the...

enhancement

**Describe the bug** Using `bayesian-optimization==1.4.3` I'd like to run a constrained optimization problem. However, I encountered `bayes_opt.util.NotUniqueError` even though I have set `allow_duplicate_points=True` I checked bayesian_optimization.py and observe that `allow_duplicate_points=True`...

bug
enhancement