similar to: pmml 1.2.0 (predictive modelling markup language)

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 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

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

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)

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*

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

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

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.

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)

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

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 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 all, I've wanted to give a try to the rattle GUI for R. After long struggle with dependencies I've finally managed to install rattle and all of its dependencies, although for some of them I've been forced to use cran2deb. And now all I get is: > library(rattle) Loading required package: pmml Loading required package: XML Loading required package: RGtk2 Loading required

Dear useRs: Release 2.0.0 of the randomSurvivalForest package is now available. --------------------------------------------------------------------------------- CHANGES TO RELEASE 2.0.0 Release 2.0.0 represents a major upgrade in the functionality and stability of the original 1.0.0 release. Key changes are as follows: o Two new splitting rules, 'logrankscore' and

Dear useRs: Release 2.0.0 of the randomSurvivalForest package is now available. --------------------------------------------------------------------------------- CHANGES TO RELEASE 2.0.0 Release 2.0.0 represents a major upgrade in the functionality and stability of the original 1.0.0 release. Key changes are as follows: o Two new splitting rules, 'logrankscore' and

library(rattle) Loading required package: pmml Loading required package: XML Error: package 'XML' could not be loaded In addition: Warning message: In library(pkg, character.only = TRUE, logical.return = TRUE, lib.loc = lib.loc) : there is no package called 'XML' i have installed glade package >install.packages("RGtk2") > install.packages("rattle")

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