Predictive Model Markup Language

The Predictive Model Markup Language (PMML) is an XML-based predictive model interchange format conceived by Dr. Robert Lee Grossman, then the director of the National Center for Data Mining at the University of Illinois at Chicago. PMML provides a way for analytic applications to describe and exchange predictive models produced by data mining and machine learning algorithms. It supports common models such as logistic regression and feedforward neural networks. Version 0.9 was published in 1998.[1] Subsequent versions have been developed by the Data Mining Group.

Since PMML is an XML-based standard, the specification comes in the form of an XML schema. PMML itself is a mature standard with over 30 organizations having announced products supporting PMML.

PMML Components

A PMML file can be described by the following components:[2][3]

This information is then followed by three kinds of neural layers which specify the architecture of the neural network model being represented in the PMML document. These attributes are NeuralInputs, NeuralLayer, and NeuralOutputs. Besides neural networks, PMML allows for the representation of many other types of models including support vector machines, association rules, Naive Bayes classifier, clustering models, text models, decision trees, and different regression models.

PMML 4.0, 4.1 and 4.2

PMML 4.0 was released on June 16, 2009.[4][5][6]

Examples of new features included:

PMML 4.1 was released on December 31, 2011.[7][8]

New features included:

PMML 4.2 was released on February 28, 2014.[9][10]

New features include:

PMML 4.3 was released on August 23, 2016.[11][12]

New features include:

Release history

Version Release date
Version 0.7July 1997
Version 0.9July 1998
Version 1.0August 1999
Version 1.1August 2000
Version 2.0August 2001
Version 2.1March 2003
Version 3.0October 2004
Version 3.1December 2005
Version 3.2May 2007
Version 4.0June 2009
Version 4.1December 2011
Version 4.2February 2014
Version 4.2.1March 2015
Version 4.3August 2016

Data Mining Group

The Data Mining Group is a consortium managed by the Center for Computational Science Research, Inc., a nonprofit founded in 2008.[13] The Data Mining Group also developed a standard called Portable Format for Analytics, or PFA, which is complementary to PMML.

References

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