In the rminer package by Paulo Cortez, using the mining function, it is possible to do a SVM regression.Using the script from the documentation SV=mining(V26~.,d,model="svm",Runs=10,method=v,mpar=m,search=s,feat="s ") Is it possible to choose a kernel for the regression other than the default gaussian kernel? I would like to apply the same to a non- linear data and prefer to use a spline or other types of kernel for the same function. -- output of sessionInfo(): R version 3.0.3 (2014-03-06) Platform: x86_64-w64-mingw32/x64 (64-bit) locale: [1] LC_COLLATE=French_France.1252 LC_CTYPE=French_France.1252 LC_MONETARY=French_France.1252 [4] LC_NUMERIC=C LC_TIME=French_France.1252 attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] rminer_1.3.1 BiocInstaller_1.12.0 randomForest_4.6-7 loaded via a namespace (and not attached): [1] grid_3.0.3 igraph_0.7.0 kernlab_0.9-19 kknn_1.2-5 lattice_0.20-27 Matrix_1.1-3 nnet_7.3-8 [8] plotrix_3.5-5 rpart_4.1-8 tools_3.0.3 -- Sent via the guest posting facility at bioconductor.org.

Hi, On Tue, Apr 1, 2014 at 6:32 AM, Paul [guest] <guest at="" bioconductor.org=""> wrote: > > In the rminer package by Paulo Cortez, using the mining function, it is possible to do a SVM regression.Using the script from the documentation > > SV=mining(V26~.,d,model="svm",Runs=10,method=v,mpar=m,search=s,feat= "s") > > Is it possible to choose a kernel for the regression other than the default gaussian kernel? I would like to apply the same to a non- linear data and prefer to use a spline or other types of kernel for the same function. It looks like this wraps the `ksvm` function from kernlab, and it looks like the `...` arguments in the `mining` passes those params through to functions it delegates to, so you should look at how to specify kernels and what not in `ksvm` Also: this isn't really a bioconductor related question and is probably best directed to R-help (or maybe SO, even), but CCing the maintainer was a good idea. -steve -- Steve Lianoglou Computational Biologist Genentech