/bayesopt

Implementation of Bayesian Optimization for Design of Experiments final project.

Primary LanguageJupyter NotebookApache License 2.0Apache-2.0

Bayesian Optimization

For Design of Experiments, W23, CHEME 599

Notes to grader:

  • Notebooks for applications are in the notebooks directory. These have not been tested on google colab. Janky grid spacing code will probably overload the limited resources there.

  • Bayesian optimization framework code in bayesopt

To run notebooks locally:

  1. Install requiremnets by building a conda environment from included conda file. This condafile generated on macOS.
  2. Install bayesopt package by cloning this repo, running pip install -e . in root.
  3. Launch notebooks and pray.