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README
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----------------------------------------------------------
-------- Grand Unified Regularized Least Squares ---------
----------------------------------------------------------
Table of Contents
=================
- Introduction
- Documentation
Introduction
============
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 webpage
http://lcsl.mit.edu/#/downloads/gurls
- Reference paper
A. 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