PMML: An Open Standard for Sharing Models

Authors

Alex Guazzelli, Zementis Inc
Michael Zeller, Zementis Inc
Wen-Ching Lin, Zementis Inc
Graham Williams, Togaware Pty Ltd

Date of this Version

6-2009

Document Type

Article

Citation

The R Journal (June 2009) 1(1)

Comments

Copyright 2009, The R Foundation. Open access material. License: CC BY 3.0 Unported

Abstract

The PMML package exports a variety of predictive and descriptive models from R to the Predictive Model Markup Language (Data Mining Group, 2008). PMML is an XML-based language and has become the de-facto standard to represent not only predictive and descriptive models, but also data pre- and post-processing. In so doing, it allows for the interchange of models among different tools and environments, mostly avoiding proprietary issues and incompatibilities.

The PMML package itself (Williams et al., 2009) was conceived at first as part of Togaware’s data mining toolkit Rattle, the R Analytical Tool To Learn Easily (Williams, 2009). Although it can easily be accessed through Rattle’s GUI, it has been separated from Rattle so that it can also be accessed directly in R.

In the next section, we describe PMML and its overall structure. This is followed by a description of the functionality supported by the PMML pack age and how this can be used in R. We then discuss the importance of working with a valid PMML file and finish by highlighting some of the debate surrounding the adoption of PMML by the data mining community at large.