How to handle the discontinuation of `scikit-optimize`

scikit-optimize, which we use in the PtychographyOptimizer, is now discontinued. There have been no releases in quite some time, and now the repo is archived. While it is still available and not causing problems at the moment, I would anticipate this to cause problems down the line, so we should come up with a plan for handling this.

Some options I think are worth considering:

• Switch GP optimization to use gp-cam. gp-cam is very full featured and probably more performant than scikit-optimize (and a Berkeley Lab project!), but it will take some work to reproduce the convenient interface and plotting that we currently get from scikit-optimize.
• If the license permits, pull the necessary scikit-opt components directly into py4DSTEM and maintain them here.
• Switch to another hyperparameter tuning library, such as Optuna or Hyperopt
• Do nothing and hope for the best? 😅

Start by inspecting the PtychographyOptimizer and its current scikit-optimize usage. Compare the proposed gp-cam, vendoring, Optuna, and Hyperopt paths, including how the current interface and plotting are used. Done means selecting and documenting a maintenance or replacement plan with a defined migration scope.