Gaussian Process and Bayesian Optimization Demos

Interactive demos:

gp_demo.ipynb - an interactive 1D demo of Gaussian process regression
1d_bo_demo.ipynb - an interactive 1D demo of a sample Bayesian optimization loop, using various acquisition functions
kernel_demo.ipynb - an interactive demo for playing around with different kernels (and kernel hyperparameters)
gp_model_selection.ipynb - a comparison of full-Bayesian inference verses MLE estimation of GP hyperparameters
ax_demo.ipynb - a simple demo of using Ax to propose experiments and log results

Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
.gitignore		.gitignore
1d_bo_demo.ipynb		1d_bo_demo.ipynb
1d_bo_ts_demo.ipynb		1d_bo_ts_demo.ipynb
1d_bo_ucb_demo.ipynb		1d_bo_ucb_demo.ipynb
README.md		README.md
ax_demo.ipynb		ax_demo.ipynb
gp_demo.ipynb		gp_demo.ipynb
gp_model_selection.ipynb		gp_model_selection.ipynb
kernel_demo.ipynb		kernel_demo.ipynb