I am using kernlab to build svm models. I am not sure how to access the different slots of the object. For instance if I want to get the nuber of support vectors for each of model I am building and store it in a vector.
>ksvm.model <- ksvm(Class ~ ., data = somedata,kernel = "vanilladot", cross = >10, type ="C-svc") >names(attributes(ksvm.model)) [1] "param" "scaling" "coef" "alphaindex" "b" [6] "obj" "SVindex" "nSV" "prior" "prob.model" [11] "alpha" "type" "kernelf" "kpar" "xmatrix" [16] "ymatrix" "fitted" "lev" "nclass" "error" [21] "cross" "n.action" "terms" "kcall" "class" >ksvm.model Support Vector Machine object of class "ksvm" SV type: C-svc (classification) parameter : cost C = 1 Linear (vanilla) kernel function. Number of Support Vectors : 144 Objective Function Value : -4.3162 Training error : 0 Cross validation error : 0.4 In the above dummy example how do I access the number of support vectors? I tried the following ksvm.model$nSV nSV(ksvm.model) Thanks ../Murli ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
