• using R Under development (unstable) (2025-12-02 r89085)
• using platform: x86_64-pc-linux-gnu
• R was compiled by     gcc (GCC) 15.1.1 20250521 (Red Hat 15.1.1-2)     GNU Fortran (GCC) 15.1.1 20250521 (Red Hat 15.1.1-2)
• running under: Fedora Linux 42 (Workstation Edition)
• using session charset: UTF-8
• using option ‘--no-stop-on-test-error’
• checking for file ‘dblr/DESCRIPTION’ ... OK
• checking extension type ... Package
• this is package ‘dblr’ version ‘0.1.0’
• package encoding: UTF-8
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• checking whether package ‘dblr’ can be installed ... [11s/35s] OK See the install log for details.
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• checking examples ... [19s/42s] ERROR Running examples in ‘dblr-Ex.R’ failed The error most likely occurred in: > ### Name: dblr_train > ### Title: Discrete Boosting Logistic Regression Training > ### Aliases: dblr_train > > ### ** Examples > > # use iris data for example > dat <- iris > # create two categorical variables > dat$Petal.Width <- as.factor((iris$Petal.Width<=0.2)*1+(iris$Petal.Width>1.0)*2) > dat$Sepal.Length <- (iris$Sepal.Length<=3.0)*2+(iris$Sepal.Length>6.0)*1.25 > # create the response variable > dat$Species <- as.numeric(dat$Species=='versicolor') > set.seed(123) > # random sampling > index <- sample(1:150,100,replace = FALSE) > # train the dblr model using the training data > dblr_fit <- dblr_train(train_x=dat[index,c(1:4)], + train_y=dat[index,5],category_cols = c('Petal.Width','Sepal.Length'), + metric = 'logloss',subsample = 0.5,eta = 0.05,colsample = 1.0, + lambda = 1.0,cv_early_stops = 10,verbose=FALSE) Warning in throw_err_or_depr_msg("Passed unrecognized parameters: ", paste(head(names_unrecognized), :   Passed unrecognized parameters: metrics. This warning will become an error in a future version. Error in begin_iteration:end_iteration : argument of length 0 Calls: dblr_train -> <Anonymous> Execution halted
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• DONE

Status: 1 ERROR