PMML is the leading standard for statistical and data mining models and supported by over 20 vendors and organizations. With PMML, it is easy to develop a model on one system using one application and deploy the model on another system using another application, simply by transmitting an XML configuration file.
PFA is an emerging standard for statistical models and data transformation engines. PFA combines the ease of portability across systems with algorithmic flexibility: models, pre-processing, and post-processing are all functions that can be arbitrarily composed, chained, or built into complex workflows. PFA may be as simple as a raw data transformation or as sophisticated as a suite of concurrent data mining models, all described as a JSON or YAML configuration file.
Feb 2016- We're pleased to announce MITRE is joining the DMG as a contributing member. They will be participating in the PFA Working Group.
January 2016- PFA is featured on KDNuggets.
October 2015- DMG members approved Gaussian process regression (GPR), a probabilistic model, for inclusion in the next release of the PMML standard. The probabilistic model also provides confidence bounds for the predictive estimations. Gaussian process regression model expressed in PMML will aid predictive modeling in engineering, manufacturing and other industries.
August, 2015- The DMG started a PFA Working Group to help develop the PFA standard. If you are interested in getting involved, please contact the working group at pfa@dmg.org.
The Data Mining Group is a consortium managed by the Center for Computational Science Research, Inc., which is an Illinois based 501(c)(3) not-for-profit corporation