Add Bayesian Inference method using GPs for Hyperparameter optimization

[john-waczak]

We should develop a hyperparameter optimization scheme using our Gaussian Process regression. The following links may provide some motivation/inspiration:

• https://www.mathworks.com/help/stats/bayesian-optimization-algorithm.html
• https://distill.pub/2020/bayesian-optimization/
• https://brendanhasz.github.io/2019/03/28/hyperparameter-optimization.html#:~:text=Bayesian%20Hyperparameter%20Optimization%20using%20Gaussian%20Processes,-28%20Mar%202019&text=Most%20machine%20learning%20models%20have,predictive%20performance%20of%20the%20algorithm.
• https://arxiv.org/pdf/1012.2599.pdf
• https://link.springer.com/article/10.1023/A:1008306431147

The key challenge will be dealing with categorical hyperparameters

[john-waczak]

More references from the Matlab code:

• https://arxiv.org/abs/1206.2944
• https://arxiv.org/abs/1403.5607