I am framing this as a question since I would like to know how folks are currently deploying the models they build in R. Say, you want to use the results of your model inside another application in real-time or on-demand, how do you do it? How do you use the decisions you get back from your models?
As you may know, a PMML package is available for R that allows for many mining model to be exported into the Predictive Model Markup Language. PMML is the standard way to represent models and can be exported from most statistical packages (including SPSS, SAS, KNIME, ...). Once your model is represented as a PMML file, it can easily be moved around. PMML allows for true interoperability. We have recently published an article about PMML on The R Journal. It basically describes the PMML language and the package itself. If you are interested in finding out more about PMML and how to benefit from this standard, please check the link below. http://journal.r-project.org/2009-1/RJournal_2009-1_Guazzelli+et+al.pdf We have also wrote a paper about open standards and cloud computing for the SIGKDD Explorations newsletter. In this paper, we describe the ADAPA Scoring Engine which executes PMML models and is available as a service on the Amazon Cloud. ADAPA can be used to deploy R models in real-time from anywhere in the world. I believe it represents a revolution in data mining since it allows for anyone that uses R to make effective use of predictive models at a cost of less than $1/hour. http://www.zementis.com/docs/SIGKDD_ADAPA.pdf Thanks! Alex [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
