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- Q932007 subject Q8257640.
- Q932007 subject Q8386916.
- Q932007 abstract "The Predictive Model Markup Language (PMML) is an XML-based predictive model interchange format conceived by Dr. Robert 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. 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.The next generation of predictive model interchange format developed by the Data Mining Group is called Portable Format for Analytics (PFA).".
- Q932007 wikiPageExternalLink dmg.org.
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- Q932007 wikiPageExternalLink rgrossman.com.
- Q932007 wikiPageExternalLink GeneralStructure.html.
- Q932007 wikiPageExternalLink GeneralStructure.html.
- Q932007 wikiPageExternalLink GeneralStructure.html.
- Q932007 wikiPageExternalLink GeneralStructure.html.
- Q932007 wikiPageExternalLink ind-PMML2.
- Q932007 wikiPageExternalLink ind-PMML3.
- Q932007 wikiPageExternalLink pmml-data-pre-processing-primer.html.
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- Q932007 wikiPageWikiLink Q8257640.
- Q932007 wikiPageWikiLink Q8386916.
- Q932007 wikiPageWikiLink Q955764.
- Q932007 comment "The Predictive Model Markup Language (PMML) is an XML-based predictive model interchange format conceived by Dr. Robert 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.".
- Q932007 label "Predictive Model Markup Language".