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https://www.r-bloggers.com/r-and-pmml-support/
Aug 21, 2013 · R and PMML Support. August 21, 2013. By Alex Guazzelli [This article was first published on Predictive Analytics, Big Data, Hadoop, PMML, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
https://support.zementis.com/hc/en-us/articles/231587247-PMML-Export-Functionality-in-R-Supported-Packages
A PMML package for R that exports all kinds of predictive models is available directly from CRAN. The pmml package offers support for the following model types: ksvm (kernlab): Support Vector M...
https://www.r-bloggers.com/r-pmml-support-data-transformations/
Jan 24, 2013 · R and PMML Export R is becoming the tool of choice for many data scientists. It is no wonder that many commercial and open-source statistical tools are also embracing R.Predictive ModelsA set of robust predictive analytic techniques is...
https://cran.r-project.org/package=pmml
pmml: Generate PMML for Various Models. The Predictive Model Markup Language (PMML) is an XML-based language which provides a way for applications to define machine learning, statistical and data mining models and to share models between PMML compliant applications.
https://docs.microsoft.com/en-us/machine-learning-server/r/how-to-developer-pmml
Converting RevoScaleR Model Objects for Use in PMML. 11/10/2017; ... For example, the pmml package generates PMML (Predictive Model Markup Language) code for a number of R model types. PMML is an XML-base language that allows users to share models between PMML-compliant applications.
https://journal.r-project.org/archive/2009-1/RJournal_2009-1_Guazzelli+et+al.pdf
cluster models, näive Bayes models, support vector machines, and more. PMML also offers many other elements such as built-in functions, statistics, model composition and verification, etc. Exporting PMML from R The PMML package in R provides a generic pmml function to generate PMML 3.2 for an object. Using an S3 generic function, the ...
https://social.msdn.microsoft.com/forums/sqlserver/en-US/11a8d222-ac2b-4843-99ac-b4a7ff65aadf/supported-pmml-models
May 22, 2009 · Not really vapourware, the platform fully supports PMML 2.1, but the built-in algorithms have very limited support for it. Here are some details -- unfortunately, they will not help you much, but will hopefully clarify the server behavior
https://www.rdocumentation.org/packages/pmml/versions/2.1.0/topics/pmml.svm
When comparing the predictions from R and PMML, this field should be used, since it will match R's output. For example, say that for an an observation, the R OCSVM model predicts a positive decision value of 0.4 and label of TRUE. According to the R object, this means that the observation is an inlier.
http://dmg.org/pmml/products.html
The Data Mining Group (DMG) is an independent, vendor led consortium that develops data mining standards. ... All R PMML produced models (see R/Rattle entry below) Analytic Modeler Scorecard . PMML 4.1: Scorecards ... PMML 2.0 through 4.2: Decision Trees Support Vector Machines Mining Models Neural Networks Regression & General Regression
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