Hyperparameters Optimization

The aim of this project is to compare two algorithms for hyperparameters global optimization, one based on Radial Basis Functions and the other based on Bayesian gaussian processes.

System requirements

• download Bonmin, Ipopt and other binaries: from https://ampl.com/dl/open/ download the binaries for your operating system
• extract the binaries, and add extracted folder path to your $PATH environment variable
• install pytorch
• install these Python 3 packages too: rbfopt, bayesian-optimization, tensorboardX

Usage

• download the project: git clone https://github.com/emanuelevivoli/Hyperparameters_Optimization.git
• enter in the project directory: cd Hyperparameters_Optimization
• (modify and) run evaluation.py: python3 evaluate.py