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Bayesian Optimization algorithms with various recent improvements

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This pull request brings the following features: 1. Check the feasibility of the inverse point and repair it if it is outside. Log the frequency of that event 2. Implement...

Hi, Is it possible to define the fitness function as a Wasserstein distance between all transformed samples and some predefined distribution? In the optimization process I only care about the...

I wrote this in VSCode browser so haven't gotten to test yet. Basically just allows you to pass an np.ndarray with initial guess values to first DoE creation. Does not...

Hi, thanks for the great package! Very interesting new methods. I wanted to check: what's the best way to deal with an external function? For example, I have data X...

fixed typo in finer example import statement

Is there any way to have 2-dimensional discrete data points as search space?

**Describe the bug** When the search space contains a boolean variable in addition to another categorical variable which is non-boolean, the search will fail. **To Reproduce** The following is a...

This PR aims to test and where needed update the intensification method implemented in this package. Current status: - Created initial test (based on test_mix_space) - Fixed issues with the...