September 2009

Augustus, an open source analytic scoring engine that works with segmented models is  compliant with the PMML 4 standard recently adopted.  Augustus is designed for use with statistical and data mining models. The new release provides Baseline, Tree and Naive-Bayes producers and consumers.  The new release, training, documentation and support can be found at our Google Code project, http://code.google.com/p/augustus/

Augustus is typically used to construct models and score data with models. Augustus includes a dedicated application for creating, or producing, predictive models rendered as PMML-compliant files. Scoring is accomplished by consuming PMML-compliant files describing an appropriate model. The typical model development and use cycle with Augustus is as follows:

1. Identify suitable data with which to construct a new model.
2. Provide a model schema which proscribes the requirements for the model.
3. Run the Augustus producer to obtain a new model.
4. Run the Augustus consumer on new data to effect scoring.