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Bayesian Optimization Implementation (Forked from Professor Andrea Cossu's Project)

This repository is a fork of the original Bayesian Optimization project developed by Professor Andrea Cossu. It contains an additional program that implements Bayesian Optimizazion of hyperparameters thanks to the use of the library Optuna.

How to Use BayesianOpt.py

  1. Install the necessary dependencies:
pip install -r requirements.txt
  1. TODO

Citation

  • Original code and model functions: Professor Andrea Cossu (University of Pisa)

Libraries Used

  • Optuna - A hyperparameter optimization framework to automate hyperparameter search.

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Learning Algorithms with an implementation of Bayesian Optimization

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