This repository contains all the deliverables and code for our Bayesian Optimization project. Below is a brief explanation of the files included:
-
BayesianOptimization_Final.ipynb:
This notebook serves as a report summarizing our results, detailing the explanations behind our code, and discussing the choices we made during the project. -
Example_notebook_BO.ipynb:
This notebook demonstrates how the Bayesian Optimization process works and can be used to replicate our results. -
Poster.pdf / Poster.pptx:
These files contain the presentation we gave, summarizing the project in a concise and visual format. -
objective_utils.py:
This Python script includes the objective functions used in our optimization process. It also incorporatespyplotfor visualizing the results. -
log_plot_utils.py:
This script is used for plotting and saving the logs of the Bayesian Optimization runs, helping to track and visualize the progress. -
LICENSE:
Specifies the license under which this repository can be used.
To use this repository, you need to install the pyJive library.