search for: libsvm

hii all!!! could anyone tell me how to use libsvm in R.. i am not able to find good way to use it.... -- View this message in context: http://r.789695.n4.nabble.com/about-libsvm-tp3007214p3007214.html Sent from the R help mailing list archive at Nabble.com.

I used the c binary svm-train in LIBSVM to create a model file. How do I load this model file into R? Is there a function in R package e1071 that accomplishes this operation? Thanks, Yin -- View this message in context: http://r.789695.n4.nabble.com/Loading-externally-created-LIBSVM-model-into-R-tp4407853p4407853.html Sent from the R...

Hello all, I'm working with the svm (libsvm) implementation from library(e1071). Currently I'm trying to extend recursive feature elimination (R-SMV) to work with multiclass classification. My problem is that if I run svm for a 3 class problem I get a 2-D vector back from model$coefs, can someone explain me what this values are? I unde...

Hello, I have an SVM model previously calibrated using libsvm R implementation from the e1071 package. I would like to use this SVM to predict values, from a Java program. I first tried to use jlibsvm and the "standard" java implementation of libsvm, without success. Thus, I am now considering writing data in files from my Java code, calling an R p...

Hello, When calling several times the svm() function, I get different results. Do I miss something, or is there some random generation in the C library? In this second hypothesis, is it possible to fix an eventual seed? Thank you Pierre ### Example library('e1071') x = rnorm(100) # train set y = rnorm(100) c = runif(100)>0.5 x2 = rnorm(100)# test set y2 = rnorm(100) # learning a

...imal variables and get the some statistical parameters (i.e., cross-validation R2, pred R2 etc). now, I can do GA+svm to do variable selection and build the models and get some statistical paramets depicted above. GA: matlab GA toolbox (http://www.sheffield.ac.uk/acse/research/ecrg/gat.html) svm: libsvm (http://www.csie.ntu.edu.tw/~cjlin/libsvm/) now I want to know, how to get the predicted values : In libsvm for example: cmd = ['-v ',num2str(v),' -c',num2str(cgp(nind,1)), '-g ',num2str(cgp(nind,2)),' -p ',num2str(cgp(nind,3)),' -s 3']; model = svmtrain(t...

Dear R users, There is a error message when I run the following code. It is used to load microarray data and use the top 1000 genes for training svm to classify test set . > library(e1071) Loading required package: class > f=read.table("F:\\lab\\ microarray analysis\\VEH LPS\\exprs.txt",

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I have a bunch of data sets that were created for the libsvm tool. They are in "colon separated sparse format". i.e. 1 5:1 27:3 345:10 Is a row with the label of "1" and only has values in columns 5, 27, and 345. I want to read these into a data.frame in R. Is there a simple way to do this? -- Noah Silverman, M.S. UCLA Departm...

Hi, the new version 1.1-0 of package e1071 is now on CRAN. Changes: *) use libsvm 2.1 for support vector machines. We are now also a kind of ``official'' R frontend to libsvm and linked from their homepage at http://www.csie.ntu.edu.tw/~cjlin/libsvm *) new functions for comparing partitions Best, Fritz -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-...

Dear David, Dear Friends, After any running svm I receive different results of Error estimation of 'svm' using 10-fold cross validation. What is the reason ? It is caused by the algorithm, libsvm , e1071 or something els? Which value can be optimal one ? How much run can reach to the optimality.And finally, what is difference between Error estimation of svm using 10-fold cross validation and MSE ( Mean Square Error ) ? So many thanks in advance for your help. Best Regards, Amir ______...

Hello List, I am having a great trouble using svm function in e1071 package. I have 4gb of data that i want to use to train svm. I am using Amazon cloud, my Amazon Machine Image(AMI) has 34.2 GB of memory. my R process was killed several times when i tried to use 4GB of data for svm. Now I am using a subset of that data and it is only 1.4 GB. i remove all unnecessary objects before calling

...implemented. Whenever I run > svm.model <- svm(y ~ ., data = trainset, cross = 3) on my data I get dirrerent values for svm.model$MSE e.g. [1] 0.9517001 1.7069627 0.6108726 [1] 0.3634670 0.9165497 1.4606322 This suggests to me that data are scrambled each time - the last time I looked at libsvm python interface this is what was done. Is this the same here (I hope) ? R [[alternative HTML version deleted]]

Dear David, Dear R Users , Suppose that we want to regress for example a certain autoregressive model using SVM. We have our data and also some fixed kernels in libSVM behinde e1071 in front. The question: Where can we insert our certain autoregressive model ? During creating data frame ? Or perhaps we can make a relationship between our variables ended to desired autoregressive model ? Thanks a lot for your help. Amir Safari __________________________...

Hello, I have been searching a way to get the resulting optimized function value of a trained SVM model (svm from the package e1071) but I have not succeed. Does anyone knows a way to get that value? Pau

I am accustomed to the LIBSVM package, which provides cross-validation on training with the -v option % svm-train -v 5 ... This does 5 fold cross validation while building the model and avoids over-fitting. But I don't see how to accomplish that in the e1071 package. (I learned that svm(... cross=5 ...) only _tests_ u...

...17 AM > To: 'Michael Benjamin' > Subject: RE: [BioC] R performance questions > > Hi Michael, > > Just one comment about SVM. If you use the svm() function in > the e1071 > package to train linear SVM, it will be rather slow. That's a known > limitation of libsvm, of which the svm() function uses. If you are > willing > to go outside of R, the "bsvm" package by C.J. Lin (same person who > wrote > libsvm) will train linear svm in much more efficient manner. > > HTH, > Andy > > > -----Original Message----- > >...

Hey guys, I had introduced myself earlier on IRC. I talked to Parth and had a brief chat with Olly, but just to re-iterate I'm Tejas Nikumbh, and I'm interested in contributing to Xapian for GSoC this year. I'm specifically interested in letor and weighing schemes projects. I've been able to build xapian on my machine without any errors via the Guidelines on the Hacking

I am using SVM to classify categorical data and I would like the probabilities instead of the classification. ?predict.svm says that its only enabled when you train the model with it enabled, so I did that, but it didn't work. I can't even get it to work with iris. The help file shows that probability = TRUE when training the model, but doesn't show an example. Then I try to

Full_Name: Julien Gagneur Version: 2.2.1 OS: Linux (Suse 9.3) Submission from: (NULL) (194.94.44.4) Using the SparseM library (SparseM_0.66) and the e1071 library (e1071_1.5-12) I fail using svm method with a sparse matrix. Here is a sample example. I experienced the same problem under Windows. > library(SparseM) [1] "SparseM library loaded" > library("e1071")