similar to: Deploying a R model on a cloud computer using PMML

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)

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

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

Dear Lists, This is an off topic (OT ). I recently took Anne Milley's interview .In Part 1 of the interview , Anne talks about SAS, WPS, other softwares she studied like SPSS,.She also talks about the difference between small and big companies , what sets SAS apart and the famous licensing model of SAS Interview – Anne Milley, SAS Part 1<http://smartdatacollective.com/Home/16909>

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, 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, 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)

Dear All, I want to save the XML representation of a model using PMML. Then I want to read the model and predict using the model and a new dataset. This is described in this blog post : https://www.r-bloggers.com/predictive-modeling-using-r-and-the-openscoring-engine-a-pmml-approach/ I am able to save the PMML representation of the model. I am not able to read this representation convert it

Hi List, This is a slightly non technical ,hence OT topic. Here is an Interview with Anne Milley of the SAS Institute. Anne Milley is director of product marketing, SAS Institute . In part 2 of the interview Anne talks of immigration in technology areas, open source networks ,how she misses coding ,and software as a service especially SAS Institute’s offering . She also reveals some preview on

Version 1.1.1 of the pmml package (PMML = Predictive Modelling Markup Language) has been uploaded to CRAN. This version adds pmml.lm to generate PMML for linear models (currently, without interactions). The PMML package is part of the Rattle toolkit for data mining. Further information from http://rattle.togaware.com. Regards, Graham _______________________________________________ R-packages

Version 1.1.1 of the pmml package (PMML = Predictive Modelling Markup Language) has been uploaded to CRAN. This version adds pmml.lm to generate PMML for linear models (currently, without interactions). The PMML package is part of the Rattle toolkit for data mining. Further information from http://rattle.togaware.com. Regards, Graham _______________________________________________ R-packages

On Wed, Jan 7, 2009 at 11:05 AM, ajay ohri <ajayohri at yahoo.com> wrote: > > FYI..not a R -Help Topic, buy I dont know which list to post discussions like this. > Regards, > Ajay > > ---------- Forwarded message ---------- > From: ajay ohri <ajayohri at yahoo.com> > Date: Wed, Jan 7, 2009 at 10:46 AM > Subject: Re: R "Threatens" SAS, According to

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

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]]

Hi All, I am trying to convert random forest model developed into a pmml file. randomForest package was used to build the model. The input to the model is in the form of a matrix (term frequency matrix used for text analytics). While i try to convert the model into a pmml file an error pops. Error in names (field$class) <-var.names attempt to set an attribute on NULL Would be great if

A new package is now available on CRAN - pmml. PMML is the Predictive Modelling Markup Language, and is accepted by a number of large database and data warehouse systems (IBM DB2 and NCR Teradata) for deployment of models as SQL. The current package is an "early release" in that it is very basic (and primarily supports the Rattle package). But it is a start! It currently supports rpart

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