search for: polydot

Hello useRs! So, I have a random question. I'm trying to build a character string, then evaluate it. I think an example would be the easiest way to explain: kern.vec = c("rbfdot","polydot") for( j in 1:length( kern.vec ) ) { formula = paste("ksvm( ind ~ . , data=d.temp[,c(ind_col,dep_cols)], kernel =",kern.vec[j],", prob.model=T )") svm = eval( parse( text=formula ) ) ... } The problem I always seem to have is that in the...

...ene.rbf <- ksvm(Class~.,data=promotergene,kernel="rbfdot",C=10,cross=5)# works fine with the rbf kernel gene.string <- ksvm(Class~.,data=promotergene,kernel="stringdot",C=10,cross=5) # this give the following error #Error in match.arg(kernel, c("rbfdot", "polydot", "tanhdot", "vanilladot", : # 'arg' should be one of ?rbfdot?, ?polydot?, ?tanhdot?, ?vanilladot?, ?laplacedot?, ?besseldot?, ?anovadot?, ?splinedot?, ?matrix? What am I doing wrong here? Thanks ../Murli

Dear list, I am using the ksvm function from kernlab as follows: (1) learning > svm.pol4 <- ksvm(class.labs ~ ., data = train.data, prob.model = T, scale = T, kernel = "polydot") (2) prediction > svm.pol.prd4 <- predict(svm.pol4, train.data, type = "probabilities")[,2] But unfortunately, when calling the prediction, once in every 10s of times (using the exact same data), it returns the following error message: Error in prob.model(object)[[p]]$A :...

with pred.pca<-predict(splits[[i]]$pca,trainingData at samples)[,1:nPCs] dframe<-as.data.frame(cbind(pred.pca,class=isExplosive(trainingData,2))); results[[i]]$classifier<-ksvm(class~.,data=dframe,scaled=T,kernel="polydot",type="C-svc", C=C,kpar=list(degree=degree,scale=scale,offset=offset),prob.model=T) and a degree of 5 i get an error of 0 reported by the ksvm object. But when doing pred.pca<-predict(splits[[i]]$pca,trainingData at samples)[,1:nPCs] pred.svm<-kernlab::predict(results[[i]]$...

Hi, I am trying to construct a svmpoly model using the "caret" package (please see code below). Using the same data, without changing any setting, I am just changing the seed value. Sometimes it constructs the model successfully, and sometimes I get an ?Error in indexes[[j]] : subscript out of bounds?. For example when I set seed to 357 following code produced result only for 8

...tol = 0.001, 63 shrinking = TRUE, 64 ... 65 ,subset 66 ,na.action = na.omit) 67 { ... 74 sparse <- FALSE 75 76 if(is.character(kernel)){ 77 kernel <- match.arg(kernel,c("rbfdot","polydot","tanhdot","vanilladot","laplacedot","besseldot","anovadot","splinedot","matrix")) 78 79 if(kernel == "matrix") 80 if(dim(x)[1]==dim(x)[2]) 81 return(ksvm(as.kernelMatrix(x), y =...