LIBOL: A Library for Online Learning Algorithms

• Main Authors: HOI, Steven C. H., WANG, Jialei, ZHAO, Peilin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2014
• Subjects: online learning; massive-scale classification; big data analytics; Computer Sciences; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/2287; https://ink.library.smu.edu.sg/context/sis_research/article/3287/viewcontent/LIBOL_A_Library_for_Online_Learning_Algorithms.pdf
• Institution: Singapore Management University

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.