"PMML" redirects here. For the Chicago institution, see Pritzker Military Museum & Library.
Not to be confused with Pimmel.
Predictive Model Markup Language
Developed by
Robert Lee Grossman
Latest release
4.4 November 2019; 4 years ago (2019-11)
Type of format
Predictive modelling
Extended from
XML
The Predictive Model Markup Language (PMML) is an XML-based predictive model interchange format conceived by 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 other feedforward neural networks. Version 0.9 was published in 1998.[1] Subsequent versions have been developed by the Data Mining Group.[2]
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.[3]
^"The management and mining of multiple predictive models using the predictive modeling markup language". ResearchGate. doi:10.1016/S0950-5849(99)00022-1. Retrieved 2015-12-21.
^"Data Mining Group". Retrieved December 14, 2017. The DMG is proud to host the working groups that develop the Predictive Model Markup Language (PMML) and the Portable Format for Analytics (PFA), two complementary standards that simplify the deployment of analytic models.
^"PMML Powered". Data Mining Group. Retrieved December 14, 2017.
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