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This is a presenation from the R Users Group (Bay Area) Covers building predictive analytic models in R, exporting in PMML and using ADAPA for model deployment and execution. Introduction to the Predictive Model Markup Language (PMML) standard and how it helps to overcome memory and speed limitations of R and makes models available for operational deployment and integration via web services. http://prezi.com/nyxnpa4kqbdo/predictive-...

..., Zementis. Mike talks about how to use an existing model ( created in R) , using PMML as an intermediate for exporting the model, and deploying it on a cloud computer for as low as 1 $ per hour. Regards, Ajay *Ajay-* *What are the traditional rivals to scoring solutions offered by you. How does ADAPA compare to each of them. Case Study- Assume I have 50000 leads daily on a Car buying website. How would ADAPA help me in scoring the model ( created say by KXEN or , R or,SAS, or SPSS).What would my approximate cost advantages be if I intend to mail say the top 5 deciles everyday.* *Michael-* Some...

Following the recent NYT article about R, I thought this group is not only ready for R but ready to take it one step further. Got models in R? Deploy and score them in ADAPA in minutes on the Amazon EC2 cloud computing infrastructure! Zementis ( http://www.zementis.com ) has been working with the R community, specifically to extend the support for the Predictive Model Markup Language (PMML) standard which allows model exchange among various statistical software tools...

...e 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 pred...

...ls include: arules, hclust, kmeans, ksvm, lm (and glm), nnet, rpart, and rsf. PMML consumers include Information Builders' C code generator (for deployment of R generated models within Web Focus on all of their supported platforms), Zementis' scoring engine or cloud computing application (ADAPA), Teradata's Warehouse Miner and IBM's DB2. A key update is the incorporation of a framework for dealing with data transformations. This is ongoing work. The pmml package is regularly updated and intermediate releases (between the more stable CRAN releases) are always available using:...

...ls include: arules, hclust, kmeans, ksvm, lm (and glm), nnet, rpart, and rsf. PMML consumers include Information Builders' C code generator (for deployment of R generated models within Web Focus on all of their supported platforms), Zementis' scoring engine or cloud computing application (ADAPA), Teradata's Warehouse Miner and IBM's DB2. A key update is the incorporation of a framework for dealing with data transformations. This is ongoing work. The pmml package is regularly updated and intermediate releases (between the more stable CRAN releases) are always available using:...

Hi - I am new to RandomForest and want to be able to predict for a set of values outside of R. So for example, if I create the model in R and want to get the prediction for an observation in a database, is there a way I can get the algorithm for the trees and final prediction for this model printed out in R that I can directly implement in SQL? Or is the only way to do this is to use a wrapper

Hola, Me gustaría obtener las reglas que genero con un árbol de decicisión creado con party. Algo parecido a lo que realiza esta función con rpart http://www.togaware.com/datamining/survivor/Convert_Tree.html la idea es disponer de esas reglas en un fichero de texto. En general si alguien sabe de algún paquete que permita obtener el código que genera la puntuación, el "score" para un

...uenchen has updated his analysis of popularity of data analysis software, featuring R: http://bit.ly/ekM5bv Tech news site The Register publishes a profile of Revolution Analytics: http://bit.ly/fBeeWP Joseph Rickert shares an example of building a model in R and exporting it to PMML for use with ADAPA: http://bit.ly/e8LGAN Violins of volatility provide a novel way of visualizing financial volatility: http://bit.ly/hkFzpe Revolution Analytics chief scientist Lee Edlefsen is interviewed at the Structure Big Data Conference in this five-minute video: http://bit.ly/ePYpt0 Other non-R-related stor...

...l test read the backbuffer. d3d9: Run the visual tests in a window. wined3d: Create clip coords only if they are used. d3d9: Abort the x8l8v8u8 test if the format is not supported. Stefan Leichter (1): setupapi: Add stub and some tests for SetupGetInfFileListW. Sunil Mohan Adapa (4): oleaut32: Fix SLTG parser so that dispatch interface can inherit another interface. oleaut32: Fix SLTG parser so that dual interfaces are returned as IDispatch first. oleaut32: Do no check for dispatchable flag on dual interfaces. oleaut32: Update comment about a newly...

...ore 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 predict...

I have data that looks like this: > df1 group id 1 red A 2 red B 3 red C 4 blue D 5 blue E 6 blue F I want a list of the groups containing vectors with the ids. I am avoiding subset(), as it is only recommended for interactive use. Here's what I have so far: df1 <- data.frame(group=c("red", "red", "red", "blue",