similar to: Problem cross-compiling on Ubuntu

Hi, I have been searching everywhere for an implementation of those algorithms, but I have only observed them in Matlab and on the literature. I noticed a package called 'ada' in CRAN but it is not for multi class. I would be happy with just Adaboost.m2, Smoteboost over adaboost.m2 or any other combination that could account for imbalanced multiclass classification problems. Thanks!

I'm going to implement AdaBoost algorithm in R. Just wanted to ensure that there is no implementation of any boosting algorithm in R... don't want to reinvent the wheel... -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-devel mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or

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, I am trying to implement the Adaboost.M1. algorithm as described in "The Elements of Statistical Learning" p.301 I don't use Dtettling 's library "boost" because : - I don't understande the difference beetween Logitboost and L2boost - I 'd like to use larger trees than stumps. By using option weights set to (1/n, 1/n, ..., 1/n) in rpart or tree

dear list, i have a problem using the adaboost function from the package boost. running the example of leukemia works out very well, but so it does not on my own data. i always get the following 22 warnings: 1: cannot compute exact p-value with ties in: wilcox.test.default(x[which(y == 0)], x[which(y == 1)]) can anybody please help me with the meaning of this warning. thnak you stefan

Hi I am using boosting for a classification and prediction problem. For some reason it is giving me an outcome that doesn't fall between 0 and 1 for the predictions. I have tried type="response" but it made no difference. Can anyone see what I am doing wrong? Screen output shown below: > boost.model <- gbm(as.factor(train$simNuance) ~ ., # formula +

You are right, maintainer does keep a list of model's packages. So how do I use a variable instead of $adaboost$? getModelInfo()$adaboost$library Also, server not found: http://rwiki.sciviews.org/doku.php?id=getting-started:reference-cards:getting-help On Tue, Aug 1, 2017 at 11:46 AM, Bert Gunter <bgunter.4567 at gmail.com> wrote: > I have provided you all the

You should read the section on Indexing in the Introduction to R document that comes with R, regarding $ and `[[`. -- Sent from my phone. Please excuse my brevity. On August 1, 2017 2:44:18 AM PDT, Dimlak Gorkehgz <rain8dome9 at gmail.com> wrote: >You are right, maintainer does keep a list of model's packages. > >So how do I use a variable instead of $adaboost$? >

hi there, trying to follow the steps of Yan & Rossini 2003, I have two problems : first when I 'make CrossCompileBuild', I get : ****************************************************************************** make[1]: Entering directory `/home/ros/RWORK/CROSSSOMP/WinR/R-1.8.0/src/gnuwin32' make -f Makefile.docfiles make[2]: Entering directory

Here is a mod to X86 that allows GAS to be used with MS Visual C++. I introduces a 'forWindows' variable like 'forCygwin' in th X86SharedAsmPrinter class. This may prompt thurther normalization, on the otherhand it may not :) Aaron -------------- next part -------------- An HTML attachment was scrubbed... URL:

Hi, I'm trying to cross compile R260 in a ubuntu 6.06 linux. I downloaded the Makefile for 251 and simply replaced the R version by 260. However I'm getting an error about mingw. ernesto at gandalf:~/ipimar/devel/R/ccompile260$ make R export

R-help -- I built R-2.2.1 in my own directory on a sun (solaris). Now I would like the sysadmin to move the contents to /usr/local/lib and place the binary in /usr/local/bin. No problem. However, the RHOME variable defaults to the directory from which R was built so it is not usable by anyone but me or ROOT. I would like to avoid building this again if possible. Any ideas? Thanks, Dan

Dear List, I am (still) trying to use the makefile advertised in R-News (the Makefile is a wrapper around other tools). When I try to build a package using the (fairly recent) 'install.R' mecanism, the output leaves me not so confident about the the usability of the pack built for Windows (I am currently unable to verify it): ---------- Making package splicegear ------------ installing

Hi all; Happy new year. I have got the following error rror in if (nrow(object$splits) > 0) { : argument is of length zero when I am running the following codes. train <- c(sample(1:27,18), sample(28:54, 18), sample(55:81, 8)) a2011.adaboost <- boosting(median_kod ~ ., data = b[train, ], boos=TRUE, mfinal = 10, control = rpart.control(minsplit = 0)) Regards, Greg [[alternative

Dear Developers, I am a data science student. I wish to implement Neuro fuzzy Classifier, Adaboost, MLkNN Multi label algorithms for web document classification. I could not find packages and steps for above mention algorithms in mlr <https://mlr-org.github.io/mlr-tutorial/devel/html/multilabel/index.html>. Hence i request you to give your valuable suggestions. In need of your guidance,

Hi, and sorry for asking such an unspecific question. Does anybody know of statistical / data mining methods that are available in R that are not in SAS ? With SAS I mean the SAS System Version 9.4 and SAS Enterprise Miner. I don't expect a complete list, just two or three examples or hints where and what to look for. I found some older comparisons, and the R methods mentioned there

On Mon, 11 Jul 2005, Aaron Gray wrote: > Here is a mod to X86 that allows GAS to be used with MS Visual C++. > > I introduces a 'forWindows' variable like 'forCygwin' in th > X86SharedAsmPrinter class. > A couple of comments: 1. Please send patches instead of full files. The best way to do this is to use CVS like this: 'cvs diff -u' in the directory

This looks like a buglet: > install.packages("lme4", depend=TRUE, lib="~/Rlibrary/") --- Please select a CRAN mirror for use in this session --- [...snip...] ** preparing package for lazy loading Error: package 'Matrix' 0.999375-4 was found, but >= 0.999375.11 is required by 'lme4' Execution halted ERROR: lazy loading failed for package 'lme4' **

Hi, I tried to use the 'make' file discussed in the last R-news. The step 'make R' dies with: make[2]: Entering directory `/home/laurent/these/R/RCrossBuild/WinR/R-1.7.1/src/gnuwin32' sed -e s/@RVER@/`cut -d' ' -f1 ../../VERSION | sed -n 1p`/g -e s/@RWVER@/rw1071/g rw-FAQ.texi | \ makeinfo --no-headers --number-sections -o rw-FAQ makeinfo --no-split --html

I have the same problem, trying to cross-compile. I'm running Ubuntu Edgy, kernel 2.6.17-10-generic, on an IBM T60. I downloaded the Makefile from CRAN and ran make CrossCompileBuild with the following error messages (also ran each make one at the time and the problem occurs in make R): ../extra/pcre/libpcre.a(pcre_dfa_exec.o):pcre_dfa_exec.c:(.text+0x1703): undefined reference to