------------------------------------------------------------------ Grand Unified Regularized Least Squares -------------------------------------------------------------------Table of Contents=================- Introduction- DocumentationIntroduction============The GRAND UNIFIED REGULARIZED LEAST SQUARES software library comprises the following packages.-GURLS, a MATLAB software library for regression and (multiclass) classification  based on the Regularized Least Squares (RLS) loss function.  Datasets that fit into your computer's memory should be handled with this package.-bGURLS (b is for big), a MATLAB software library that allows to use RLS on very large matrices by means of memory-mapped storage and a simple distributed task manager.-GURLS++, a C++ standalone implementation of GURLS, with additional simple API's for specific learning pipelines-bGURLS++, a  C++ standalone implementation of bGURLS.Documentation=============- GURLS webpagehttp://lcsl.mit.edu/#/downloads/gurls- Reference paperA. Tacchetti, P. K. Mallapragada, M. Santoro and L. Rosasco,GURLS: a Least Squares Library for Supervised Learning,Journal of Machine Learning Research, 14, 2013.http://jmlr.org/papers/v14/tacchetti13a.html - Installation instructions can be found here:https://github.com/LCSL/GURLS/wiki/2-Getting-Started- Quick intructions on how to run the libraries for a default case:https://github.com/LCSL/GURLS/wiki/2-Getting-Started#wiki-Hello_World- A User manual with several examples:https://github.com/LCSL/GURLS/wiki/3-User-Manual#wiki-User_Manual- A collection of the most useful and common pipelines:https://github.com/LCSL/GURLS/wiki/3-User-Manual#wiki-Examples- The list of all the available methods of the libraries:https://github.com/LCSL/GURLS/wiki/4-Available-methods- C++ Code Documentation:http://lcsl.github.io/GURLS/- Further Documentation* Have a look at the README files of each individual package.* In gurls-manual.pdf you can find both the installation instructions   and user manual, together with the MATLAB and C++ Developer's Guide.   GURLS is designed for easy expansion. Give it a try!* In recursiveRLS-tutorial.pdf you can find a simple Tutorial for the Recursive   RLS API * Description of the available methods, demos and data for each package:https://github.com/CBCL/GURLS/wiki/4-Code-Description