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SIGMA: Large-Scale and Parallel Machine-Learning Tool Kit

The goal of SIGMA is to provide a group of parallel machine-learning algorithms that can meet the requirements of research work and applications typically with large-scale data or features. The tool kit includes more than 10 algorithms and it makes them run on single multicore machine or on a HPC cluster with hundreds of machines and thousands of CPU cores running. Release history: version 1.0: 2009/Oct/12: a basic version with algorithms. version 1.1: 2010/Feb/01: add up to ten algorithms and pass our internal testing. Contactor: Weizhu Chen ( )


File NameMLUI3Installer -
Date Published4 March 2010
Download Size5.68 MB

Note By installing, copying, or otherwise using this software, you agree to be bound by the terms of its license. Read the license.

New Features

Here’s what’s new in this release:

  • Support ten machine learning algorithms
  • Run it in multi-cores machines
  • An easy-to-use user interface

Coming Features:

  1. We will provide a public cluster in the future and you can submit your parallel job to run in our cluster.

System Requirements

To run this software, you’ll need the following:

  • .Net framework 2.0 or above

Installation Instructions

To install [download name], do the following:

  1. Just click the download file
More Information, Please visit my homepage:

Weizhu Chen

And My intern's homepage:

Chenguang Zhu

Zeyuan Zhu