Documentation for GPopt, a package for Bayesian optimization is now available – along with its source code on GitHub. You can read the previous posts related to GPopt below:
- Bayesian Optimization with GPopt
- Bayesian Optimization with GPopt Part 2 (save and resume)
- Hyperparameters tuning with GPopt
For this documentation, I used keras-autodoc, MkDocs, and GitHub Pages as usual. Why? Because MarkDown! <3 I didn’t have to learn a new language, namely, reStructuredText.
