similar to: How to deploy statistical models built in R in real-time?

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)

Dear List, Please find an interview from Michael Zeller ,CEO, 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

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.

Version 1.2.0 of pmml has been released and is available from CRAN. The pmml package (http://rattle.togaware.com/pmml.html) is part of the Rattle data mining suite http://rattle.togaware.com. It generates representations of analytic models built in R using the open standard predictive modelling markup language (http://www.dmg.org/). PMML represents analytic models in an application independent

Version 1.2.0 of pmml has been released and is available from CRAN. The pmml package (http://rattle.togaware.com/pmml.html) is part of the Rattle data mining suite http://rattle.togaware.com. It generates representations of analytic models built in R using the open standard predictive modelling markup language (http://www.dmg.org/). PMML represents analytic models in an application independent

Hi, I am having some trouble using R 2.13.1 for generating a pmml object of of class "c('randomForest.formula', 'randomForest')" I see that these methods are available: > methods(pmml) [1] pmml.coxph* pmml.hclust* pmml.itemsets* pmml.kmeans* pmml.ksvm* pmml.lm* pmml.multinom* pmml.nnet* pmml.rpart* [10] pmml.rsf* pmml.rules* pmml.survreg*

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

Hi, The web interfaces are great examples of using R from the web. The wordpress plugin is a great creative thought. Taking this further- since one critical point in R vs SAS or other Corporate Type Software is the way it handles memory, could we install say R web and these plugins on a cloud scalable environment ( basically computing and memory scalable per use) to offer R as a SaaS Zementis

Hi all, I caught a passing reference to PMML on the WEKA list (I think) .. an XML way of communicating 'data mining models'. I am of the opinion that XML is a 'good thing' and I would for instance like to see a standard XML way of communicating the content and context of datasets (eg of timeseries) but it has been a long day and my internet connection is slow and so I have

A new version of Rattle (2.1.123), a Gnome-base GUI for data mining, written copmletely in R, and available on GNU/Linux, Unix, Mac OSX, and MS/Windows, has been released to CRAN. There has been quite a lot of activity since the last update, including: Transform: Now include basic imputation of missing values. More to follow. Models: Move to using ada for boosting.

A new version of Rattle (2.1.123), a Gnome-base GUI for data mining, written copmletely in R, and available on GNU/Linux, Unix, Mac OSX, and MS/Windows, has been released to CRAN. There has been quite a lot of activity since the last update, including: Transform: Now include basic imputation of missing values. More to follow. Models: Move to using ada for boosting.

Dear R users I used glmnet generating a regression model, now I need to convert it to pmml format, but I noticed pmml r package doesn''t support glmnet object, has anyone find a way solving this problem? I was thinking convert glmnet object to glm object, has anyone tried it? Many thanks Yan [[alternative HTML version deleted]]

Hola a todos, el motivo de esta consulta es saber si existe alguna forma de implementar/ejecutar modelos entrenados en R fuera de R. Es decir, por ejemplo un SVM el cual yo lo entreno en R pero quiero que una vez entrenado pueda usarse en un ordenador distinto donde no necesariamente tenga que tener instalado R.   Es decir, sería algo así como pasarlo a librerías C o similar.   Un saludo a todos y

Version 2.4.0 of Rattle has been released to CRAN. The rattle package (http://rattle.togaware.com) is a multi platform (GNU/Linux, Mac/OSX, MS/Windows) GTK based GUI for data mining (for exploring data and building descriptive and predictive models). It has undergone a lot of development over the past year. A companion book introducing data mining using Rattle is under development, with a draft

Version 2.4.0 of Rattle has been released to CRAN. The rattle package (http://rattle.togaware.com) is a multi platform (GNU/Linux, Mac/OSX, MS/Windows) GTK based GUI for data mining (for exploring data and building descriptive and predictive models). It has undergone a lot of development over the past year. A companion book introducing data mining using Rattle is under development, with a draft

I write about R every weekday at the Revolutions blog: http://blog.revolutionanalytics.com and every month I post a summary of articles from the previous month of particular interest to readers of r-help. In case you missed them, here are some articles related to R from the month of March: The doSMP package, which enables parallel processing for R on multiprocessor machine, is now available on

Yesterday I wanted to try rattle on Ubuntu 9.04 Jaunty. I had (and still have) it running (though it complains on startup a bit -- I'll look into that later) on a different bootup on the same machine with 8.04 Hardy. I got an error that libglade cannot be found, and various attempts to get glade support failed. I removed and reinstalled R -- same problem. To avoid the issue of local setup

Hi, We have created a cox regression model (coxph) and exported from R as PMML using the Rattle package. The resulting PMML is a standard Regression model in the format y=b1*x1+b2*x2+??.bn*xn: risk= (0.027968680616809*dropped_Calls)+(0.00777220409115466*helpdesk_Calls) The PMML is included at the end of this post. Cox Regression is usually in this format: h(t)= h0(t)*e^(b1*x1+b2*x2+??.bn*xn)

Hi, is it possible to export the LDA model into a file so that it can be reused in R afterwards ? I have already checked the package "pmml" but does not seem to export LDA models. thanks, david