similar to: Question on implementing RandomForest

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)

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

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, 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*

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.

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

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 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

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 new to R and I'd like to use the randomForest package for my thesis (identifying important variables for more detailed analysis with other software). I have found extremely well written and helpful information on the usage of R. Unfortunately it seems to be very difficult to find similarly detailed tutorials for randomForest, and I just can't get it work with the information on

Hola: No se muy bien si es esto lo que preguntas, pero el código de todos los scripts está en el fichero: https://cran.r-project.org/src/contrib/randomForest_4.7-1.1.tar.gz Saludos. On Sun, 19 Mar 2023 04:35:44 +0100 Manuel Mendoza <mmendoza en fulbrightmail.org> wrote: > Buenos días, ¿cómo podría ver el código con el que el paquete randomForest > hace el random forest? >

Hello I'd like to try out some functions in the package randomForest. Therefore, I did install this package. However, it is not possible to load the library, although I have R-Version 2.1.1 (i.e. later than 2.0.0). The commands I used and the Answers/Error from R is as follows: > install.packages("C://Programme//R//rw2011//library//randomForest_4.5-16.zip",

Hello, I've tried to install randomForest on a Ubuntu 8.04 Hardy Heron system. I've repeatedly rec'd the error: > install.packages("randomForest", dependencies = TRUE) ERROR: compiliation failed for package 'randomForest' ** Removing '/home/admuser/R/i486-pc-linux-gnu-library/2.6/randomForest' The downloaded packages are in

Dear R-users, While making a prediction using the randomForest function (package randomForest) I'm getting the following error message: "Error in predict.randomForest(model, newdata = CV) : No forest component in the object" Here's my complete code. For reproducing this task, please find my 2 data sets attached ( http://www.nabble.com/file/p17855119/data.rar data.rar ).

hello, I want to use randomForest to classify a matrix which is 331030?42,the last column is class signal.I use ? Memebers.rf<-randomForest(class~.,data=Memebers,proximity=TRUE,mtry=6,ntree=200) which told me" the error is matrix(0,n,n) set too elements" then I use: Memebers.rf<-randomForest(class~.,data=Memebers,importance=TRUE,proximity=TRUE) which told me"the error is

I'm attempting to pass a string argument into the function randomForest but I get an error: state <- paste(list("fruit ~", "apples+oranges+blueberries", "data=fruits.data, mtry=2, do.trace=100, na.action=na.omit, keep.forest=TRUE"), sep= " ", collapse="") model.rf <- randomForest(state) Error in if (n==0) stop ("data(x) has 0

Buenos días: Otra opción es escribir directamente el nombre de la función en la consola de R: > randomForest function (x, ...) UseMethod("randomForest") En este caso, la función randomForest() llama a UseMethod() para seleccionar el método adecuado. Podemos ver los métodos para randomForest con la función methods(): > methods(randomForest) [1] randomForest.default*

I received this error Error in randomForest.default(m, y, ...) : Can not handle categorical predictors with more than 32 categories. using below code library(randomForest) library(MASS) memory.limit(size=12999) x <- read.csv("D:/train_store_title_view.csv", header=TRUE) x <- na.omit(x) set.seed(131) sales.rf <- randomForest(sales ~ ., data=x, mtry=3, importance=TRUE) My

Dear R-users, I have a problem with randomForest{outlier}. After running the following code ( that produces a silly data set and builds a model with randomForest ): ####################### library(randomForest) set.seed(0) ## build data set X <- rbind( matrix( runif(n=400,min=-1,max=1), ncol = 10 ) , rep(1,times= 10 ) ) Y <- matrix( nrow = nrow(X), ncol = 1) for( i in (1:nrow(X))){