Open Data released a new version, 0.4.2 of Augustus.  It is written in python and is free and readily available at our project site.  The latest version of our PMML compliant coring engine includes feature and performance enhancements.

• A new model consumer, Ruleset, has been added to the scoring engine.
• Details regarding the model specification can be found here.
• Optional garbage collection in the model consumer has been disabled, driving significant performance improvement.
• Improved data reads from Standard I/O
• Metadata collection improved.

At the project site you will also find a new regression tests.  Regression tests are now easier to run and cover Augustus components, PMML models and statistical scenarios.

Do you listen to NPR? Never mind, we already know. American Public Media reporter Stacey Vanek Smith explores just how much interested parties know about her, and how they know it. A two part series for Marketplace features  Open Data Managing Partner, Robert Grossman as they discuss the digital footprint of “savvy single Stacey“.

Open Data Group’s open source scoring engine has been updated with additional functions and features.   It is also compliant with the most recent PMML standard.

Augustus is a PMML 4-compliant scoring engine that works with segmented models. Augustus is designed for use with statistical and data mining models. The new release provides Baseline, Tree and Naive-Bayes producers and consumers.

There is also a version for use with PMML 3 models. It is able to produce and consume models with 10,000s of segments and conforms to a PMML draft RFC for segmented models and ensembles of models. It supports Baseline, Regression, Tree and Naive-Bayes.

Augustus is written in Python and is freely available under the GNU General Public License, version 2.  For support and additional resource, visit the project page at: http://code.google.com/augustus/

Robert Grossman, Open Data Managing Partner, has been invited to join the Information Technology Infrastructure Committee of the NASA Advisory Council.  In this role, he will be contributing to the Committee’s mission to support all NASA information technology infrastructure-related programs, projects, activities and facilities, including high performance computing.

Open Data has created Amazon EC2 AMI’s to deliver analytics services over the cloud.  Available as a 32 or 64 bit image, each includes:

• Augustus v0.4.0
• R with XTS
• Python 2.6 (with NumPy)
• Octave 3.2
• MySQL 5.0

AMI ID, additional deployment information and  support can be found at our Google Code project, http://augustus.googlecode.com