Hi I am pretty sure that nobody will be able to answer your question due to lack of information.
Missing parentheses here bounds <- list(mtry = c(-2, 5) Use ?debug if the error is from your function. If the code is coppied from some help page, use the data from help page and try to find differences in your data and help data. Provide reproducible example I get this Error in train(Effort ~ ., data = tr, method = "rf", preProc = c("center", : could not find function "train" Timing stopped at: 0 0 0.01 with your code Cheers Petr > -----Original Message----- > From: R-help <r-help-boun...@r-project.org> On Behalf Of Neha gupta > Sent: Wednesday, December 4, 2019 12:37 PM > To: r-help@r-project.org > Subject: [R] Error in FUN(X[[i]], ...) : subscript out of bounds > > Hi , I know nobody will respond to my query as I asked few in the past and > no answer received for any of my questions. However, I am asking here with > the hope it will get responded. > > I am using bayesian optimization to tune the parameter of mtry for random > forest but it gives me the error: Error in FUN(X[[i]], ...) : subscript out of > bounds > > I am using the following code: > > fit_bayes <- function(mtry) { > ## Use the same model code but for a single (C, sigma) pair. > mod <- train(Effort ~ ., data = tr, > method = "rf", > preProc = c("center", "scale", "zv"), > metric = "RMSE", > trControl = ctrl, > tuneGrid = data.frame(C = 10^(mtry))) > > list(Score = -getTrainPerf(mod)[, "TrainRMSE"], Pred = 0) } > > > library(rBayesianOptimization) > > bounds <- list(mtry = c(-2, 5) > > > set.seed(8606) > bo_search <- BayesianOptimization(fit_bayes, > bounds = bounds, > init_points = 10, > n_iter = 100, > acq = "ucb", > kappa = 1, > eps = 0.0) bo_search > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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 -- To UNSUBSCRIBE and more, see 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.