* using log directory ‘/home/hornik/tmp/CRAN_special_donttest/MSclassifR.Rcheck’
* using R Under development (unstable) (2025-12-08 r89124)
* using platform: x86_64-pc-linux-gnu
* R was compiled by
    gcc-15 (Debian 15.2.0-9) 15.2.0
    GNU Fortran (Debian 15.2.0-9) 15.2.0
* running under: Debian GNU/Linux forky/sid
* using session charset: UTF-8
* using option ‘--run-donttest’
* checking for file ‘MSclassifR/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘MSclassifR’ version ‘0.5.0’
* package encoding: UTF-8
* checking CRAN incoming feasibility ... [5s/5s] NOTE
Maintainer: ‘Alexandre Godmer <alexandre.godmer@aphp.fr>’

Possibly misspelled words in DESCRIPTION:
  Desorption (11:199)
  MALDI (11:257, 11:623)
  Spectrometry (11:243)
  TOF (11:263, 11:629)
  spectrometry (11:787)
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for executable files ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘MSclassifR’ can be installed ... [22s/22s] OK
* used C++ compiler: ‘g++-15 (Debian 15.2.0-9) 15.2.0’
* checking package directory ... OK
* checking for future file timestamps ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking code files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... [3s/3s] OK
* checking whether the package can be loaded with stated dependencies ... [3s/3s] OK
* checking whether the package can be unloaded cleanly ... [3s/3s] OK
* checking whether the namespace can be loaded with stated dependencies ... [3s/3s] OK
* checking whether the namespace can be unloaded cleanly ... [3s/3s] OK
* checking loading without being on the library search path ... [3s/3s] OK
* checking use of S3 registration ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... [18s/18s] OK
* checking Rd files ... [0s/0s] OK
* checking Rd metadata ... OK
* checking Rd line widths ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking contents of ‘data’ directory ... OK
* checking data for non-ASCII characters ... [0s/0s] OK
* checking LazyData ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking line endings in C/C++/Fortran sources/headers ... OK
* checking pragmas in C/C++ headers and code ... OK
* checking compilation flags used ... OK
* checking compiled code ... OK
* checking examples ... [208s/20s] ERROR
Running examples in ‘MSclassifR-Ex.R’ failed
The error most likely occurred in:

> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: PredictLogReg
> ### Title: Prediction of the category to which a mass spectrum belongs
> ### Aliases: PredictLogReg
> 
> ### ** Examples
> 
> ## No test: 
> library(MSclassifR)
> library(MALDIquant)
> 
> ## 1) Preprocess and detect peaks
> data("CitrobacterRKIspectra", "CitrobacterRKImetadata", package = "MSclassifR")
> spectra <- SignalProcessing(CitrobacterRKIspectra)
[SignalProcessingUltra] N=14; workers=1; align=lowess; OS=unix
1) Transform: sqrt
2) Smooth: Wavelet
3) Baseline: SNIP
4) Calibrate: TIC
5) Building reference peaks (minFrequency=0.5, method=strict)
6) Align: lowess
> peaks   <- MSclassifR::PeakDetection(x = spectra, averageMassSpec = FALSE)
Detecting peaks (method=MAD, SNR=3) [serial]
Aligning peaks in discrete bins
> 
> ## 2) Build X and Y (sample-by-peak intensities + labels)
> ##    Option A: if you prefer the helper and a sparse return:
> Y <- factor(CitrobacterRKImetadata$Species)
> xy <- build_XY_from_peaks(peaks, labels = Y, normalize = "max", sparse = FALSE)
> X <- xy$X
> Y <- xy$Y
> 
> ##    Option B: via MALDIquant::intensityMatrix (as in the original examples)
> ##IntMat <- MALDIquant::intensityMatrix(peaks)
> ##rownames(IntMat) <- paste(CitrobacterRKImetadata$Strain_name_spot)
> ##IntMat[is.na(IntMat)] <- 0
> ##IntMat <- t(apply(IntMat, 1, function(x) x / max(x)))  # per-spectrum max norm
> ##X <- t(IntMat)                                         # features in columns
> ##Y <- factor(CitrobacterRKImetadata$Species)
> 
> ## 3) Select discriminant m/z with "cvp" method
> a <- MSclassifR::SelectionVar(
+   X, Y,
+   MethodSelection = "cvp",
+   MethodValidation = "cv",
+   PreProcessing = c("center","scale","nzv","corr"),
+   NumberCV = 2,
+   Metric = "Kappa"
+ )
No sampling method selected
Selection variables with cvp method
> sel_moz <- a$sel_moz
> 
> ## 4) Train several models on the shortlisted m/z
> model_lm  <- MSclassifR::LogReg(X = X, moz = sel_moz, Y = Y, number = 2,
+  repeats = 2, Metric = "Kappa", kind = "linear")
LogReg function according to the following parameters:
No sampling method selected
Estimation with linear (multinom) method
Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut = 10,  :
  These variables have zero variances: `7645.54786114855`, `10516.5570628371`
Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut = 10,  :
  These variables have zero variances: `7645.54786114855`, `10516.5570628371`
Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut = 10,  :
  These variables have zero variances: `7645.54786114855`, `10516.5570628371`
> model_nn  <- MSclassifR::LogReg(X = X, moz = sel_moz, Y = Y, number = 2,
+  repeats = 2, Metric = "Kappa", kind = "nnet", Sampling = "up")
LogReg function according to the following parameters:
Sampling method: up (in-fold)
Estimation with nnet method
Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut = 10,  :
  These variables have zero variances: `7645.54786114855`, `10516.5570628371`
Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut = 10,  :
  These variables have zero variances: `7645.54786114855`, `10516.5570628371`
Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut = 10,  :
  These variables have zero variances: `7645.54786114855`, `10516.5570628371`
Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut = 10,  :
  These variables have zero variances: `7645.54786114855`, `10516.5570628371`
Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut = 10,  :
  These variables have zero variances: `7645.54786114855`, `10516.5570628371`
Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut = 10,  :
  These variables have zero variances: `7645.54786114855`, `10516.5570628371`
Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut = 10,  :
  These variables have zero variances: `7645.54786114855`, `10516.5570628371`
Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut = 10,  :
  These variables have zero variances: `7645.54786114855`, `10516.5570628371`
Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut = 10,  :
  These variables have zero variances: `7645.54786114855`, `10516.5570628371`
Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut = 10,  :
  These variables have zero variances: `7645.54786114855`, `10516.5570628371`
Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut = 10,  :
  These variables have zero variances: `7645.54786114855`, `10516.5570628371`
Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut = 10,  :
  These variables have zero variances: `7645.54786114855`, `10516.5570628371`
Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut = 10,  :
  These variables have zero variances: `7645.54786114855`, `10516.5570628371`
Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut = 10,  :
  These variables have zero variances: `7645.54786114855`, `10516.5570628371`
Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut = 10,  :
  These variables have zero variances: `7645.54786114855`, `10516.5570628371`
Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut = 10,  :
  These variables have zero variances: `7645.54786114855`, `10516.5570628371`
Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut = 10,  :
  These variables have zero variances: `7645.54786114855`, `10516.5570628371`
Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut = 10,  :
  These variables have zero variances: `7645.54786114855`, `10516.5570628371`
Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut = 10,  :
  These variables have zero variances: `7645.54786114855`, `10516.5570628371`
Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut = 10,  :
  These variables have zero variances: `7645.54786114855`, `10516.5570628371`
Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut = 10,  :
  These variables have zero variances: `7645.54786114855`, `10516.5570628371`
Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut = 10,  :
  These variables have zero variances: `7645.54786114855`, `10516.5570628371`
Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut = 10,  :
  These variables have zero variances: `7645.54786114855`, `10516.5570628371`
Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut = 10,  :
  These variables have zero variances: `7645.54786114855`, `10516.5570628371`
Warning in preProcess.default(thresh = 0.95, k = 5, freqCut = 19, uniqueCut = 10,  :
  These variables have zero variances: `7645.54786114855`, `10516.5570628371`
> model_rf  <- MSclassifR::LogReg(X = X, moz = sel_moz, Y = Y, number = 2,
+  repeats = 2, Metric = "Kappa", kind = "rf",  Sampling = "down")
LogReg function according to the following parameters:
Sampling method: down
Using fast ranger engine (caret-free) for RF
Warning: Dropped unused factor level(s) in dependent variable: Citrobacter diversus.
Warning: Dropped unused factor level(s) in dependent variable: Citrobacter diversus.
Warning: Dropped unused factor level(s) in dependent variable: Citrobacter diversus.
Warning: Dropped unused factor level(s) in dependent variable: Citrobacter diversus.
Warning: Dropped unused factor level(s) in dependent variable: Citrobacter diversus.
Warning: Dropped unused factor level(s) in dependent variable: Citrobacter diversus.
Warning: Dropped unused factor level(s) in dependent variable: Citrobacter diversus.
Warning: Dropped unused factor level(s) in dependent variable: Citrobacter diversus.
Warning: Dropped unused factor level(s) in dependent variable: Citrobacter diversus.
Warning: Dropped unused factor level(s) in dependent variable: Citrobacter diversus.
Warning: Dropped unused factor level(s) in dependent variable: Citrobacter diversus.
Warning: Dropped unused factor level(s) in dependent variable: Citrobacter diversus.
Warning: Dropped unused factor level(s) in dependent variable: Citrobacter diversus.
Warning: Dropped unused factor level(s) in dependent variable: Citrobacter diversus.
Warning: Dropped unused factor level(s) in dependent variable: Citrobacter diversus.
Warning: Dropped unused factor level(s) in dependent variable: Citrobacter diversus.
Warning: Dropped unused factor level(s) in dependent variable: Citrobacter diversus.
Warning: Dropped unused factor level(s) in dependent variable: Citrobacter diversus.
> model_xgb <- MSclassifR::LogReg(X = X, moz = sel_moz, Y = Y, number = 2,
+  repeats = 2, Metric = "Kappa", kind = "xgb", Sampling = "smote")
LogReg function according to the following parameters:
Warning in MSclassifR::LogReg(X = X, moz = sel_moz, Y = Y, number = 2, repeats = 2,  :
  SMOTE before CV can inflate metrics for non-RF caret models. Using in-fold up-sampling instead to avoid leakage. For leakage-free SMOTE, prefer kind='rf' (fast engine).
Sampling method: up (in-fold)
Estimation with xgbTree method (compact grid)
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep1: eta=0.1, max_depth=3, gamma=0, colsample_bytree=0.7, min_child_weight=1, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep1: eta=0.1, max_depth=3, gamma=0, colsample_bytree=0.7, min_child_weight=1, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep1: eta=0.1, max_depth=3, gamma=0, colsample_bytree=0.7, min_child_weight=5, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep1: eta=0.1, max_depth=3, gamma=0, colsample_bytree=0.7, min_child_weight=5, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep1: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1.0, min_child_weight=1, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep1: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1.0, min_child_weight=1, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep1: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1.0, min_child_weight=5, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep1: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1.0, min_child_weight=5, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep1: eta=0.1, max_depth=6, gamma=0, colsample_bytree=0.7, min_child_weight=1, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep1: eta=0.1, max_depth=6, gamma=0, colsample_bytree=0.7, min_child_weight=1, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep1: eta=0.1, max_depth=6, gamma=0, colsample_bytree=0.7, min_child_weight=5, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep1: eta=0.1, max_depth=6, gamma=0, colsample_bytree=0.7, min_child_weight=5, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep1: eta=0.1, max_depth=6, gamma=0, colsample_bytree=1.0, min_child_weight=1, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep1: eta=0.1, max_depth=6, gamma=0, colsample_bytree=1.0, min_child_weight=1, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep1: eta=0.1, max_depth=6, gamma=0, colsample_bytree=1.0, min_child_weight=5, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep1: eta=0.1, max_depth=6, gamma=0, colsample_bytree=1.0, min_child_weight=5, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep1: eta=0.3, max_depth=3, gamma=0, colsample_bytree=0.7, min_child_weight=1, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep1: eta=0.3, max_depth=3, gamma=0, colsample_bytree=0.7, min_child_weight=1, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep1: eta=0.3, max_depth=3, gamma=0, colsample_bytree=0.7, min_child_weight=5, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep1: eta=0.3, max_depth=3, gamma=0, colsample_bytree=0.7, min_child_weight=5, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep1: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1.0, min_child_weight=1, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep1: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1.0, min_child_weight=1, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep1: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1.0, min_child_weight=5, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep1: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1.0, min_child_weight=5, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep1: eta=0.3, max_depth=6, gamma=0, colsample_bytree=0.7, min_child_weight=1, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep1: eta=0.3, max_depth=6, gamma=0, colsample_bytree=0.7, min_child_weight=1, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep1: eta=0.3, max_depth=6, gamma=0, colsample_bytree=0.7, min_child_weight=5, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep1: eta=0.3, max_depth=6, gamma=0, colsample_bytree=0.7, min_child_weight=5, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep1: eta=0.3, max_depth=6, gamma=0, colsample_bytree=1.0, min_child_weight=1, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep1: eta=0.3, max_depth=6, gamma=0, colsample_bytree=1.0, min_child_weight=1, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep1: eta=0.3, max_depth=6, gamma=0, colsample_bytree=1.0, min_child_weight=5, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep1: eta=0.3, max_depth=6, gamma=0, colsample_bytree=1.0, min_child_weight=5, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep1: eta=0.1, max_depth=3, gamma=0, colsample_bytree=0.7, min_child_weight=1, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep1: eta=0.1, max_depth=3, gamma=0, colsample_bytree=0.7, min_child_weight=1, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep1: eta=0.1, max_depth=3, gamma=0, colsample_bytree=0.7, min_child_weight=5, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep1: eta=0.1, max_depth=3, gamma=0, colsample_bytree=0.7, min_child_weight=5, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep1: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1.0, min_child_weight=1, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep1: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1.0, min_child_weight=1, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep1: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1.0, min_child_weight=5, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep1: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1.0, min_child_weight=5, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep1: eta=0.1, max_depth=6, gamma=0, colsample_bytree=0.7, min_child_weight=1, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep1: eta=0.1, max_depth=6, gamma=0, colsample_bytree=0.7, min_child_weight=1, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep1: eta=0.1, max_depth=6, gamma=0, colsample_bytree=0.7, min_child_weight=5, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep1: eta=0.1, max_depth=6, gamma=0, colsample_bytree=0.7, min_child_weight=5, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep1: eta=0.1, max_depth=6, gamma=0, colsample_bytree=1.0, min_child_weight=1, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep1: eta=0.1, max_depth=6, gamma=0, colsample_bytree=1.0, min_child_weight=1, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep1: eta=0.1, max_depth=6, gamma=0, colsample_bytree=1.0, min_child_weight=5, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep1: eta=0.1, max_depth=6, gamma=0, colsample_bytree=1.0, min_child_weight=5, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep1: eta=0.3, max_depth=3, gamma=0, colsample_bytree=0.7, min_child_weight=1, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep1: eta=0.3, max_depth=3, gamma=0, colsample_bytree=0.7, min_child_weight=1, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep1: eta=0.3, max_depth=3, gamma=0, colsample_bytree=0.7, min_child_weight=5, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep1: eta=0.3, max_depth=3, gamma=0, colsample_bytree=0.7, min_child_weight=5, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep1: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1.0, min_child_weight=1, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep1: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1.0, min_child_weight=1, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep1: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1.0, min_child_weight=5, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep1: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1.0, min_child_weight=5, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep1: eta=0.3, max_depth=6, gamma=0, colsample_bytree=0.7, min_child_weight=1, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep1: eta=0.3, max_depth=6, gamma=0, colsample_bytree=0.7, min_child_weight=1, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep1: eta=0.3, max_depth=6, gamma=0, colsample_bytree=0.7, min_child_weight=5, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep1: eta=0.3, max_depth=6, gamma=0, colsample_bytree=0.7, min_child_weight=5, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep1: eta=0.3, max_depth=6, gamma=0, colsample_bytree=1.0, min_child_weight=1, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep1: eta=0.3, max_depth=6, gamma=0, colsample_bytree=1.0, min_child_weight=1, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep1: eta=0.3, max_depth=6, gamma=0, colsample_bytree=1.0, min_child_weight=5, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep1: eta=0.3, max_depth=6, gamma=0, colsample_bytree=1.0, min_child_weight=5, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep2: eta=0.1, max_depth=3, gamma=0, colsample_bytree=0.7, min_child_weight=1, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep2: eta=0.1, max_depth=3, gamma=0, colsample_bytree=0.7, min_child_weight=1, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep2: eta=0.1, max_depth=3, gamma=0, colsample_bytree=0.7, min_child_weight=5, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep2: eta=0.1, max_depth=3, gamma=0, colsample_bytree=0.7, min_child_weight=5, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep2: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1.0, min_child_weight=1, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep2: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1.0, min_child_weight=1, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep2: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1.0, min_child_weight=5, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep2: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1.0, min_child_weight=5, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep2: eta=0.1, max_depth=6, gamma=0, colsample_bytree=0.7, min_child_weight=1, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep2: eta=0.1, max_depth=6, gamma=0, colsample_bytree=0.7, min_child_weight=1, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep2: eta=0.1, max_depth=6, gamma=0, colsample_bytree=0.7, min_child_weight=5, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep2: eta=0.1, max_depth=6, gamma=0, colsample_bytree=0.7, min_child_weight=5, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep2: eta=0.1, max_depth=6, gamma=0, colsample_bytree=1.0, min_child_weight=1, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep2: eta=0.1, max_depth=6, gamma=0, colsample_bytree=1.0, min_child_weight=1, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep2: eta=0.1, max_depth=6, gamma=0, colsample_bytree=1.0, min_child_weight=5, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep2: eta=0.1, max_depth=6, gamma=0, colsample_bytree=1.0, min_child_weight=5, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep2: eta=0.3, max_depth=3, gamma=0, colsample_bytree=0.7, min_child_weight=1, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep2: eta=0.3, max_depth=3, gamma=0, colsample_bytree=0.7, min_child_weight=1, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep2: eta=0.3, max_depth=3, gamma=0, colsample_bytree=0.7, min_child_weight=5, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep2: eta=0.3, max_depth=3, gamma=0, colsample_bytree=0.7, min_child_weight=5, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep2: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1.0, min_child_weight=1, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep2: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1.0, min_child_weight=1, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep2: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1.0, min_child_weight=5, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep2: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1.0, min_child_weight=5, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep2: eta=0.3, max_depth=6, gamma=0, colsample_bytree=0.7, min_child_weight=1, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep2: eta=0.3, max_depth=6, gamma=0, colsample_bytree=0.7, min_child_weight=1, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep2: eta=0.3, max_depth=6, gamma=0, colsample_bytree=0.7, min_child_weight=5, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep2: eta=0.3, max_depth=6, gamma=0, colsample_bytree=0.7, min_child_weight=5, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep2: eta=0.3, max_depth=6, gamma=0, colsample_bytree=1.0, min_child_weight=1, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep2: eta=0.3, max_depth=6, gamma=0, colsample_bytree=1.0, min_child_weight=1, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep2: eta=0.3, max_depth=6, gamma=0, colsample_bytree=1.0, min_child_weight=5, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold1.Rep2: eta=0.3, max_depth=6, gamma=0, colsample_bytree=1.0, min_child_weight=5, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep2: eta=0.1, max_depth=3, gamma=0, colsample_bytree=0.7, min_child_weight=1, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep2: eta=0.1, max_depth=3, gamma=0, colsample_bytree=0.7, min_child_weight=1, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep2: eta=0.1, max_depth=3, gamma=0, colsample_bytree=0.7, min_child_weight=5, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep2: eta=0.1, max_depth=3, gamma=0, colsample_bytree=0.7, min_child_weight=5, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep2: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1.0, min_child_weight=1, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep2: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1.0, min_child_weight=1, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep2: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1.0, min_child_weight=5, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep2: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1.0, min_child_weight=5, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep2: eta=0.1, max_depth=6, gamma=0, colsample_bytree=0.7, min_child_weight=1, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep2: eta=0.1, max_depth=6, gamma=0, colsample_bytree=0.7, min_child_weight=1, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep2: eta=0.1, max_depth=6, gamma=0, colsample_bytree=0.7, min_child_weight=5, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep2: eta=0.1, max_depth=6, gamma=0, colsample_bytree=0.7, min_child_weight=5, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep2: eta=0.1, max_depth=6, gamma=0, colsample_bytree=1.0, min_child_weight=1, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep2: eta=0.1, max_depth=6, gamma=0, colsample_bytree=1.0, min_child_weight=1, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep2: eta=0.1, max_depth=6, gamma=0, colsample_bytree=1.0, min_child_weight=5, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep2: eta=0.1, max_depth=6, gamma=0, colsample_bytree=1.0, min_child_weight=5, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep2: eta=0.3, max_depth=3, gamma=0, colsample_bytree=0.7, min_child_weight=1, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep2: eta=0.3, max_depth=3, gamma=0, colsample_bytree=0.7, min_child_weight=1, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep2: eta=0.3, max_depth=3, gamma=0, colsample_bytree=0.7, min_child_weight=5, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep2: eta=0.3, max_depth=3, gamma=0, colsample_bytree=0.7, min_child_weight=5, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep2: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1.0, min_child_weight=1, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep2: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1.0, min_child_weight=1, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep2: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1.0, min_child_weight=5, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep2: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1.0, min_child_weight=5, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep2: eta=0.3, max_depth=6, gamma=0, colsample_bytree=0.7, min_child_weight=1, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep2: eta=0.3, max_depth=6, gamma=0, colsample_bytree=0.7, min_child_weight=1, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep2: eta=0.3, max_depth=6, gamma=0, colsample_bytree=0.7, min_child_weight=5, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep2: eta=0.3, max_depth=6, gamma=0, colsample_bytree=0.7, min_child_weight=5, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep2: eta=0.3, max_depth=6, gamma=0, colsample_bytree=1.0, min_child_weight=1, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep2: eta=0.3, max_depth=6, gamma=0, colsample_bytree=1.0, min_child_weight=1, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep2: eta=0.3, max_depth=6, gamma=0, colsample_bytree=1.0, min_child_weight=5, subsample=0.8, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
  Passed invalid function arguments: num_class. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
  Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning: model fit failed for Fold2.Rep2: eta=0.3, max_depth=6, gamma=0, colsample_bytree=1.0, min_child_weight=5, subsample=1.0, nrounds=100 Error in modelFit$xNames <- colnames(x) : 
  ALTLIST classes must provide a Set_elt method [class: XGBAltrepPointerClass, pkg: xgboost]

Warning in nominalTrainWorkflow(x = x, y = y, wts = weights, info = trainInfo,  :
  There were missing values in resampled performance measures.
Something is wrong; all the Kappa metric values are missing:
    Accuracy       Kappa    
 Min.   : NA   Min.   : NA  
 1st Qu.: NA   1st Qu.: NA  
 Median : NA   Median : NA  
 Mean   :NaN   Mean   :NaN  
 3rd Qu.: NA   3rd Qu.: NA  
 Max.   : NA   Max.   : NA  
 NA's   :96    NA's   :96   
Error: Stopping
Execution halted
* checking PDF version of manual ... [3s/3s] OK
* checking HTML version of manual ... [2s/2s] OK
* checking for non-standard things in the check directory ... OK
* checking for detritus in the temp directory ... OK
* DONE
Status: 1 ERROR, 1 NOTE