GURLS: a Least Squares Library for Supervised Learning

• Published in: arXiv.org
• Main Authors: Tacchetti, Andrea, Mallapragada, Pavan K, Santoro, Matteo, Rosasco, Lorenzo
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 05.03.2013
• Subjects: Algorithms; Distributed memory; Downloading; Least squares; Libraries; Linear algebra; Machine learning; Mathematical analysis; Matrix methods; Routines; Supervised learning

We present GURLS, a least squares, modular, easy-to-extend software library for efficient supervised learning. GURLS is targeted to machine learning practitioners, as well as non-specialists. It offers a number state-of-the-art training strategies for medium and large-scale learning, and routines fo...