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SOL: A Library for Scalable Online Learning Algorithms
[article]
2016
arXiv
pre-print
SOL is an open-source library for scalable online learning algorithms, and is particularly suitable for learning with high-dimensional data. The library provides a family of regular and sparse online learning algorithms for large-scale binary and multi-class classification tasks with high efficiency, scalability, portability, and extensibility. SOL was implemented in C++, and provided with a collection of easy-to-use command-line tools, python wrappers and library calls for users and
arXiv:1610.09083v1
fatcat:hvyyzykaijb4tkwhvc6k3th7ra