BlaBoO – A Lightweight Black Box Optimizer Framework
Project name: | BlaBoO – A Lightweight Black Box Optimizer Framework |
Licence: | Apache License Version 2.0 |
Webpage: | GitHub |
Related Publications: | (submitted, under review) |
Involved members: | Péter Kiss Dávid Fonyó Tomás Horváth |
Short description: | 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, hyper-parameter tuning of machine learning algorithms. The software is able to optimize the parameters of any black-box function runnable in command line, provides GUI as well as batch mode processing, is easy to extend by new optimization algorithms. BlaBoO is intended for managing black-box optimization experiments and education. Its features make it a valuable tool for (not only beginner) machine learning practitioners, students and teachers as well. |
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