资 源 简 介
LIBOL is an open-source library for large-scale online classification, which consists of a large family of efficient and scalable state-of-the-art online learning algorithms for solving both binary and multiclass online classification tasks. We have offered easy-to-use command-line tools and examples for users and developers, and also made documents available for both beginners and advanced users. LIBOL is not only a machine learning tool, but also a comprehensive experimental platform for online learning research.
The current version (V0.3.0) of LIBOL supports a total of 16 algorithms and variants for binary classification tasks, and a total of 13 algorithms and variants for multiclass classification tasks.
In general, the existing online learning algorithms for linear classification tasks can be grouped into two major categories: (i) first order learning (Rosenblatt, 1958; Crammer et al., 2006), and (ii) second order learning (Dredze et al., 2008; Wang et al., 2012
