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Everything about Predictive Model Markup Language
Predictive model interchange format
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. Subsequent versions have been developed by the Data Mining Group. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Predictive Model Markup LanguageA 5-minute orientation
- Pick up a classic book: Technical CommunicationThe most-reprinted book on the subject
- Read the landmark paper: Gaussian Process Regression (GPR) Representation in Predictive Model Markup Language (PMML)Cited 56 times
- Go sideways: Oracle Data MiningA closely related topic
- Go sideways: Portable Format for AnalyticsA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Gaussian Process Regression (GPR) Representation in Predictive Model Markup Language (PMML)
The management and mining of multiple predictive models using the predictive modeling markup language
Predictive Model Markup Language (PMML) Representation of Bayesian Networks: An Application in Manufacturing
Description Logic Based Extended Predictive Model Markup Language EPMML
Integrating Predictive Model Markup Language with Asset Administration Shell
📚 Books worth reading
Technical CommunicationJohn M. Lannon · 2000- 📕Pmml'13Robert Grossman · 2013
- 📕Proceedings of the 2011 Workshop on Predictive Markup Language ModelingRick Pechter · 2011
Introduction to making very big booksUnited States. Congress. Senate. Committee on Pensions · 2011
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
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