similar to: PMML- Predictive model markup language

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*

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]]

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.

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

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

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 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

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 .. another newbie question .. is it possible to "lock" a function (or indeed any object), making it read-only until "unlocked"? For example, should I inadvertently (or through sheer stupidity <g> ) override the definition of t > t function (x) UseMethod("t") with > t <- function(x){min(x)} R raises no objection and uses this new version happily

Hello, I was interested in trying to write an R script to calculate a UCL for a lognormal distribution using the Chebyshev Inequality — MVUE Approach (based on EPA’s guidance found in http://www.epa.gov/oswer/riskassessment/pdf/ucl.pdf). This looks like it should be straight forward, but I am need to calculate an MVUE for the population mean and an MVUE for the population variance, which requires

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

Is there an implementation of the SOM ('Self Organizing Map') procedure in R ? I am aware of the implementations of Sammon mapping, multidimensional scaling and, somewhat peripherally, principal curves and projection pursuit .. but not SOM per se as far as I can see. Am I missing something? --------------------- for anyone interesed in SOM I found Samuel Kaski's thesis