Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4947140 | Neurocomputing | 2017 | 10 Pages |
Abstract
SOL is an open-source library for scalable online learning with high-dimensional data. The library provides a family of regular and sparse online learning algorithms for large-scale classification tasks with high efficiency, scalability, portability, and extensibility. We provide easy-to-use command-line tools, python wrappers and library calls for users and developers, and comprehensive documents for both beginners and advanced users. SOL is not only a machine learning toolbox, but also a comprehensive experimental platform for online learning research. Experiments demonstrate that SOL is highly efficient and scalable for large-scale learning with high-dimensional data.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Yue Wu, Steven C.H. Hoi, Chenghao Liu, Jing Lu, Doyen Sahoo, Nenghai Yu,