You should try different tuning parameters; the defaults are not likely to work for many datasets. I don't use the polynomial kernel too much but scale parameter values that are really of could cause this. Unlike the rbf, I don't know of any good techniques for estimating this.
Max On Jan 25, 2011, at 11:47 AM, Neeti <nikkiha...@gmail.com> wrote: > > after using options(error=utils::recover) option, following is the output. if > i am correct this means that in ksvm there is some problem, but really could > not understand. could anyone please tell me what is wrong... > > any help will be great .... > > thank you so much.. > > > Enter a frame number, or 0 to exit > > 1: train(train1, as.factor(trainset[, ncol(trainset)]), "svmpoly", > trControl = trainControl((method = "cv"), 10, > 2: train.default(train1, as.factor(trainset[, ncol(trainset)]), "svmpoly", > trControl = trainControl((method = "c > 3: do.call(trControl$computeFunction, argList) > 4: function (X, FUN, ...) > 5: FUN(X[[25]], ...) > 6: do.call(createModel, args) > 7: function (data, method, tuneValue, obsLevels, pp = NULL, ...) > 8: ksvm(as.matrix(trainX), trainY, kernel = polydot(degree = > tuneValue$.degree, scale = tuneValue$.scale, offset > 9: ksvm(as.matrix(trainX), trainY, kernel = polydot(degree = > tuneValue$.degree, scale = tuneValue$.scale, offset > 10: .local(x, ...) > 11: ksvm(x[c(indexes[[i]], indexes[[j]]), , drop = FALSE][cind, ], yd[cind], > type = type(ret), kernel = kernel, k > 12: ksvm(x[c(indexes[[i]], indexes[[j]]), , drop = FALSE][cind, ], yd[cind], > type = type(ret), kernel = kernel, k > 13: .local(x, ...) > > -- > View this message in context: > http://r.789695.n4.nabble.com/Train-error-subscript-out-of-bonds-tp3234510p3236494.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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. ______________________________________________ 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.
