similar to: experimenting (like Weka Experimenter)

Que tal Miguel.Bueno, este es un buen intento para los programas que manejan el denominado "Flujo de conocimiento", que lo que tratan es de ordenar los pasos que intervienen en un proceso (proceso=análisis, reporte, etc.) y la ayuda que brindan los softwares, es que los objetos ya definidos para las distintas tareas.Hay algunos de estos programas: Enterprice guide y miner de SAS,

Hi, guys: These days I keep using R and Weka to do data mining. I think my next step is open the source codes so that I can "customrize them" and make them better server my purpose. But now I kinda hesitate to do so b/c I am really not sure which is better to start with. You know, both require some time and I cannot clone myself to work on both:) If here are some persons who used both

Le jeudi 09 f?vrier 2012 ? 15:31 +0200, Kari Ruohonen a ?crit : > Hi, > I am trying to replicate a training of AttributeSelectedClassifier with > CFsSubsetEval, BestFirst and NaiveBayes that I have initially done with > Weka. Now, I am trying to use RWeka in R. > > I have a problem of passing arguments to the CfsSubsetEval, BestFirst > and NaiveBayes. I have first created an

Dear All, I'd like to use Weka functions that are not implemented (do not have interface) in RWeka, like the Remove function and others in the future! The .java() functionality is for that purpose but I haven't seen any example with Weka functions. Could anyone give me hand in how to do it? For instace if I want to use the weka.filters.unsupervised.attribute.Remove? 1. in the R console,

Hi, I never use cobweb before and I'm quite new to this. I have a couple of questions around the cobweb implementation in R Weka. If you could supply answer or insight, I would really appreciate. 1. From Fisher's paper in 1987, it seems that Cobweb only deals with nominal data. In R Weka cobweb, is it allowed to accommodate real/continuous value? 2. My understanding is that Cobweb

Hello. I am wondering why I am getting NA for all in cors=sapply(pred,cor,y=resp). I suppose that each column in pred has NAs in them. Is there some way to fix this? Thanks > str(pred) 'data.frame':   200 obs. of  13 variables:  $ mnO2: num  9.8 8 11.4 4.8 9 13.1 10.3 10.6 3.4 9.9 ...  $ Cl  : num  60.8 57.8 40 77.4 55.4 ...  $ NO3 : num  6.24 1.29 5.33 2.3 10.42 ...  $ NH4 : num  578

Dear List, One persistent feedback I am getting to people who are newly introduced to R ( especially in this cost cutting recession) is - 1) The website looks a bit old. While the current website does have a lot of hard work behind it, should n't a world class statistics package have a better website instead. You can check out www.knime.org which is an open source software , and free, and

Hi, After problem described in http://oss.oracle.com/pipermail/ocfs2-users/2010- December/004854.html we've upgraded kernels and ocfs2-tools on every node. The present versions are: kernel 2.6.32-bpo.5-amd64 (from debian lenny-backports) ocfs2-tolls 1.4.4-3 (from debian squeeze) We didn't noticed any problems in logs untill last friday, when the whole ocfs2 cluster crashed. We know

-----Original Message----- From: Patrick Connolly Sent: Friday, 9 November 2012 11:29 a.m. To: Peter Alspach Subject: Interfacing R and Weka > version _ platform x86_64-unknown-linux-gnu arch x86_64 os linux-gnu system x86_64, linux-gnu status major 2 minor 15.2 year 2012 month 10 day 26 svn rev

Hi there, I'm not sure whether this is the right mailing list to put this question... if not, please tell me where I can find help. I have a spare dual-core machine which run Windows XP Professional and is nearly unused (nearly! Unfortunately, I cannot change OS). And I'm investigating Knime (knime.org) to set up data analysis workflows. They have some nodes to execute R on a remote

Running Weka's command line with calls to system(), like this > system("java weka.classifiers.bayes.NaiveBayes -K -t HWlrTrain.arff -o") === Confusion Matrix === a b <-- classified as 3518 597 | a = NoSpray 644 926 | b = Spray === Stratified cross-validation === === Confusion Matrix === a b <-- classified as 3512 603 | a = NoSpray

Hi all, I have been using WEKA to do some text classification work and I want to try out R. The problem is I cannot load the String to Vector ARFF files created by WEKA's string parser into Rattle . Looking at the logs I get something like: /Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : scan() expected 'a real', got '2281}'/ *My ARFF

Hi everyone, this email basically pursues two distinct main goals. I appreciate any help! First of all I was wondering if there is any possibility to get WEKA files (coded in Java) to run in R respectively RWeka. I first considered if it was possible with the Weka_interface implemented in RWeka but apparently it is not. Is there any way? Secondly I am looking for implementations to produce

Dear Christian, first of all thank you for your answer. I am going to parse through the pages you told me. Meanwhile I'd like to note that probably it is a good idea to put 2-3 lines of R-code demonstrating such a simple needs somnewhere in docs of `cluster' package. E.g. x<-rnorm(500) ... # output means we have rather 1 claster x<-c(rnorm(500), rnorm(500)+5)

Hi A few days ago I upgraded debian8 to debian9 dovecot is from source # 2.2.36.4 (baf9232c1): /etc/dovecot/dovecot.conf # Pigeonhole version 0.4.24.2 (aaba65b7) # OS: Linux 4.9.0-13-amd64 x86_64 Debian 9.13 Today I get some times in logs: "dovecot-uidlist line 112: Invalid data" and I dont know why This is claster dovecot: dovecot1 - debian8 dovecot2 - debian8 dovecot3 - debian8

Dear All, I am finding trouble trying to guild a Wrapper using random forest to evaluate the subsets: I do: nombi <- make_Weka_filter("weka/filters/supervised/attribute/AttributeSelection") datbin<- nombi(gene ~., data=X1X2X4X5W, control =Weka_control( S=list("weka.attributeSelection.GeneticSearch"), E=list("weka.attributeSelection.WrapperSubsetEval"),B

Hello all, I am attempting to run an R script that makes use of RWeka. I am running SuSE Linux 9.3 with Java 1.5.0_06, R version 2.2.1, Weka 3-4-7, and Rweka 0.2-1. CLASSPATH="/usr/local/weka-3-4-7/weka.jar:/usr/local/JGR/JGR.jar" I receive the error: NewObject("weka/core/Instances","(Ljava/io/Reader;)V",...) failed Exception in thread "main"

Hello! I have a such problem in my redmine app, like "Redmine: 500 Internal Server Error Content-Type: text/html " error, from time to time, and there is no periodicly matches. Versions: Rails - 2.2.2 Ruby - 1.8.5 Thx, for you answers. --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "Ruby on Rails:

Hi. I am trying to install using the following. Can someone suggest what is wrong? I am using Windows 7 64bit, and R 2.10.1 ('C:\Users\Bill\Desktop\DMwR_0.2.1.zip', repos=NULL ) Warning in install.packages("C:UsersBillDesktopDMwR_0.2.1.zip", repos = NULL) :   argument 'lib' is missing: using 'C:\Users\Bill\Documents/R/win-library/2.10' Error in zip.unpack(pkg,

Hello, I have some trouble in achieving the desired parametrisation for the weka classifier functions, using the package RWeka. The problem is, that the functions result=classifier(formula, data, subset, na.action, control = Weka_control(mycontrol)) do not seem to be manipulated by the mycontrol- arguments Perhaps this should be resepected via the handlers- argument , but the