James Taylor (@jamet123) is remarkable in capturing the nuances and mood of the data analytics and decision management industry and community. As a celebrated author and an avid writer, James has been writing more and more about the technologies that t... [Read more...]

How does it work? Simple! Once you build your model in R using any of the PMML supported model types, pass the model object as an input parameter to the pmml package as shown in the figure below.The pmml package offers export for a variety of model types, including:   •   ... [Read more...]

Model deployment used to be a big task. Predictive models, once built, needed to be re-coded into production to be able to score new data. This process was prone to errors and could easily take up to six months. Re-coding of predictive models has no pl... [Read more...]

A PMML package for R that exports all kinds of predictive models is available directly from CRAN.Traditionally, the pmml package offered support for the following data mining algorithms:ksvm (kernlab): Support Vector Machinesnnet: Neural Networksrpart:... [Read more...]

[Read more...]

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... [Read more...]

The ADAPA Decision Engine provides additional value to all your predictive assets. It is complimentary to R, since it extends your modeling environment into the IT operational domain. ADAPA® is compatible with R through PMML, the Predictive Model Markup Language, which is the de facto standard to represent predictive models. ... [Read more...]

PMML, the Predictive Model Markup Language, has become the de-facto standard to represent not only predictive models, but also data pre- and post-processing. In so doing, it allows for the interchange of models among different tools and environment... [Read more...]

PMML (Predictive Model Markup Language) is the standard language used by all the top analytic vendors (commercial and open-source) to represent predictive models. These include IBM/SPSS, SAS, KXEN, TIBCO, STATISICA, R, KNIME, and RapidMiner (for detail... [Read more...]

Open source tools provide a cost-effective, yet powerful option for data mining. The following contenders adhere to the PMML standard which facilitates model exchange among open source and commercial vendors, providing a definitive route for production deployment of predictive models. The R ProjectThe R Project for Statistical Computing is definitely ... [Read more...]

Zementis, in collaboration with Togaware, produced an article describing PMML and the PMML Package available for exporting predictive models built in R.The article is featured in the first edition of The R Journal. Check it out:PMML: An Open Standard f... [Read more...]