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Surrogate Optimization Toolbox for Python

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Hi, I am trying to understand the role of setting the `extra` and `extra_vals` parameters in something like `SRBFStrategy()`. It seems like if I append the controller's `fevals`list with appropriately...

In surrogate_strategy.py I believe there is supposed to be a parenthesis on line 163 otherwise it never catches the error of having less evaluation points than the minimum. Currently in...

PySOT doing very well here versus Hyperopt, Optuna etc... https://www.microprediction.com/blog/optimize

Hi, Is it possible to use `pySOT` with expensive blackbox constraints? For example, if the `objfunction()` method in the optimisation problem class can be written to use an external piece...

enhancement

We should implement a strategy that is tailored for mixed-integer problems, such as SO-MI (A surrogate model algorithm for computationally expensive nonlinear mixed-integer black-box global optimization problems, Müller, Juliane; Shoemaker,...

enhancement

Hi all, is this available in pySOT already? From searching in the documentation and previous issues, I could only find two stopping criteria, one based on the maximum number of...

In `gp.py`, the `predict()` method returns an array of size `(num_pts,)`. This does not match the returned size of the `predict_std()` method, which instead returns an array of size `(num_pts,1)`....

In `ei_merit.py`, in the `ei_merit()` method, the sizes of the parameters passed do not match the comments. My setup: - 6 dimensional optimization problem (all dimensions are continuous) - EIStrategy...

In `surrogate.py`, in the ` add_points()` method, an `AttributeError` exception is raised by calling `fx.ndim` (line 64) when `fx` is an integer. Potential solutions: 1. On line 62, expand type-checking...