BlaBoO: A Lightweight Black Box Optimizer Framework
Péter T. Kiss, David Fonyo, Tomáš Horváth · 2018
BlaBoO is an open source software initiative, that aims to help find optimal solution for the widest possible range of optimization problems such as, amongst others, hyperparameter tuning of machine learning algorithms. The software is able to optimize the parameters of any black-box function runnable in command line. It needs no cumbersome installation, launching the application requires running a Java executable file because of what the application runs under various platforms. BlaBoO provides a GUI as well as a batch mode processing abilities. It is easy to extend it by new optimization algorithms. BlaBoO is intended not only for managing black-box optimization experiments but also for education purposes. Its features make it a valuable tool for (not only beginner) machine learning practitioners, students and teachers as well.