similar to: probabilty calculation in SVM

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

Hi all, I am using the "svm" command in the e1071 package. Does it have an automatic way of setting the "cost" parameter? I changed a few values for the "cost" parameter but I hope there is a systematic way of obtaining the best "cost" value. I noticed that there is a "cross" (Cross validation) parameter in the "svm" function. But I

I'm not sure what the parameter specifies: random if an integer value is specified, random parameter vectors are drawn from the parameter space. What are the parameter vectors and what is the parameter space? What means drawn? greetings Jessi [[alternative HTML version deleted]]

Dear all, I am currently looking for a book about support vector machines for regression and classification and am a bit lost since they are plenty of books dealing with this subject. I am not totally new to the field and would like to get more information on that subject for later use with the e1071 <http://cran.r-project.org/web/packages/e1071/index.html> package for instance. Does

I'm running SVM from e1071 package on a data with ~150 columns (variables) and 50000 lines of data (it takes a bit of time) for radial kernel for different gamma and cost values. I get a very large models with at least 30000 vectors and the prediction I get is not the best one. What does it mean and what could I do to ameliorate my model ? Jerzy Orlowski

Hi All, Sorry if this is a repost (a quick browse didn't give me the answer). I wonder if there are packages that can do the feature selection and classification at the same time. For instance, I am using SVM to classify my samples, but it's easy to get overfitted if using all of the features. Thus, it is necessary to select "good" features to build an optimum hyperplane (?).

On 02/20/2017 09:10 PM, Michal Privoznik wrote: > On 17.02.2017 17:18, Yunchih Chen wrote: >> `virsh list` hangs on my server that hosts a bunch of VMs. >> This might be due to the Debian upgrade I did on Feb 15, which upgrades >> `libvirt` from 2.4.0-1 to 3.0.0-2. >> I have tried restarting libvirtd for a few times, without luck. >> >> Attached below are

Hello, all experts, My major is computer-aied drug design ( main QSAR). Now, my paper need be reviesed, and one reviewer ask me do genetic algorithm coupled with gaussian process method (GA+GP). my data: training set: 191*106 test set: 73*106 here, I need use GA+GP to do variable selection when building the model. In R, there are not GA package like in matlab

Hi, If I try to read the codes of functions in e1071 package, it gives me following error message. >library(e1071) > svm function (x, ...) UseMethod("svm") <environment: namespace:e1071> > predict.svm Error: Object "predict.svm" not found > Can someone help me on this how to read the codes of the functions in the e1071 package? Thanks. Raj

`virsh list` hangs on my server that hosts a bunch of VMs. This might be due to the Debian upgrade I did on Feb 15, which upgrades `libvirt` from 2.4.0-1 to 3.0.0-2. I have tried restarting libvirtd for a few times, without luck. Attached below are some relevant logs; let me know if you need some more for debugging. Thanks for your help!! root@vm-host:~# uname -a Linux vm-host 4.6.0-1-amd64 #1

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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 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-

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 program to predict values, then gather

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

I have a very strange and complicate H/W platform. It has many registers in one format. The register format is: ------------------------------ ---------------------------------------------------------------------------------------- | 24-bit | 24-bit | 24-bit | 24-bit |

Che-Liang Chiou <clchiou at gmail.com> writes: > My implementation of predicated instructions is similar to ARM > backend. I traced ARM and PowerPC backend for reference. Cool. > If, David, you were saying a implementation of predication in LLVM IR, > I didn't do that. It was partly because I was not (and is still not) > very familiar with LLVM's design; so I

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 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