similar to: exporting LDA model possible ?

Saving lda.default as text files from within gui="none" and from within gui="gnome" and comparing afterwards with diff, I get: alobo at humboldt:> diff lda.default.gnome.txt lda.default.nognome.txt 1c1 < function (x, grouping, prior = proportions, tol = 1, method = c("moment", --- > function (x, grouping, prior = proportions, tol = 1e-04, method =

Dear all, I'm using adaBoost from the ada package to build a classification model. After training the model in R I'd like to use it in a Python application. Is it possible to export the model in some way to make translating into python easier? Any help would be greatly appreciated. Thanks. Bob

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

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

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*

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)

We've seen two issues come up with Dovecot LDA, both of which have caused us problems: 1) If the user's home directory does not exist, or is not owned by them, deliver fails and causes the mail message to bounce back to the originator. In our environment this happens when our user is moved to another server (where we move their files, but for up to 24 hours afterwards,

Hi Timo, I have a question on the feasibility of adding the capability directly in dovecot LDA (or maybe this wouldn't be the correct place?) to provide a server-side mail archiving feature. What I'd like is a simple way to define a maildir, ie: vmail/archive/$user/Inbox and vmail/archive/$user/Inbox.Sent And then have the dovecot LDA deliver a copy of all mail (incoming and

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]]

Hi, I am using Dovecot to manage a complex virtual mailbox setup. It's all working splendidly, thanks to the Dovecot LDA. This morning, however, I needed to create a vacation-style autoreply for one of the virtual addresses. I made use of cmusieve, authored a little sieve script, and had it working in no time... until I discovered how limited sieve's vacation module is. Most importantly:

On Jan 1, 2015, at 8:10 AM, Stephan Bosch <stephan at rename-it.nl> wrote: > > Could you enable mail_debug? That should show why it is trying to > recompile the Sieve script. Well, that it does! And it's saying the script is "not up to date" and tries to recompile it. However, I'm not sure why it would say it's NOT up to date, it most certainly was

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 All, We have an application which uses R algorithms. We are currently using save() command to store models.But for save() command, we have to give the filename.But, in our application, we cannot afford to save it in any specific location. In this case , for accessing the models generated in R , we cannot use the save() command since, save () stores the pmml in local file. Is there any way

Dear R users, my search for a possibility to convert a generated model into VHDL to program an FPGA has still no solution. The problem: caret -> training -> model -> model.rds -> model.xml (PMML) --?--> VHDL-Code --?--> FPGA The (simplified) task: A photo detector with 16 channels is measuring the intensity of 16 different wavelength ranges. These data are classified with the

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

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 all: I'm developing an application in which I use standard data to train the model in LDA and use the trained model to predict on test data. I can't train the model every time when I do prediction. So I need to save the trained model onto disk after the first training. Does anybody have idea about this? You help is highly appreciated. Best Regards Feng

Hi there, I am a master student in Denmark, and apply R to analyze the drug data. I use the function 'lda' to obtain a linear discriminant object, and then wish to use 'plot.lda' to do the plot on this object like below. drug.lda <- lda(Inhibition ~ NET_CHARGE + PKA_1 + MW + MLOGP, data = drug.class, method = "moment") plot.lda(drug.lda,