LIBOL is an open-source library for large-scale online learning, which consists of a large family of efficient and scalable state-of-the-art online learning algorithms for large- scale online classification tasks. We have offered easy-to-use command-line tools and examples for users and developers, and also have made comprehensive documents available for both beginners and advanced users. LIBOL is not only a machine learning toolbox, but also a comprehensive experimental platform for conducting online learning research.
online learning, massive-scale classification, big data analytics
Computer Sciences | Databases and Information Systems
Data Management and Analytics
Journal of Machine Learning Research
HOI, Steven C. H.; WANG, Jialei; and ZHAO, Peilin.
LIBOL: A Library for Online Learning Algorithms. (2014). Journal of Machine Learning Research. 15, (1), 495-499. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/2287
Copyright Owner and License
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.