Blog Archives

Standards in Predictive Analytics: R, Hadoop and PMML (a white paper by James Taylor)

January 29, 2014
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Standards in Predictive Analytics: R, Hadoop and PMML (a white paper by James Taylor)

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...

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R PMML Support: BetteR than EveR

October 2, 2013
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R PMML Support: BetteR than EveR

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:   •   ksvm (kernlab): Support Vector Machines    •   nnet: Neural Networks    •   rpart: C&RT Decision Trees    •   lm & glm (stats):...

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Predictive model deployment with PMML

September 10, 2013
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Predictive model deployment with PMML

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...

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R and PMML Support

August 21, 2013
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R and PMML Support

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:...

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Data Transformations – from R to PMML – The pmmlTransformations Package

August 7, 2013
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Data Transformations – from R to PMML – The pmmlTransformations Package

We are very excited to announce the availability of the R pmmlTransformations package. This package allows you to export data transformations together with your model from R into a PMML file, which you can then be deployed in the Zementis ADAPA or UPPI...

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R PMML Support: Data Transformations

January 24, 2013
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R PMML Support: Data Transformations

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...

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Synergies and Value Proposition between the R Statistical Package and Zementis ADAPA

June 29, 2012
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Synergies and Value Proposition between the R Statistical Package and Zementis ADAPA

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. PMML allows for models to be...

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R PMML Support: BetteR than EveR!

April 9, 2012
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R PMML Support: BetteR than EveR!

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...

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Predictive Analytics with R, PMML, ADAPA, and Excel

January 7, 2011
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Predictive Analytics with R, PMML, ADAPA, and Excel

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...

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PMML and Open Source Data Mining

November 6, 2009
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PMML and Open Source Data Mining

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 the...

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