Package: mllrnrs
Check: examples
New result: ERROR
  Running examples in ‘mllrnrs-Ex.R’ failed
  The error most likely occurred in:
  
  > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
  > ### Name: LearnerGlmnet
  > ### Title: R6 Class to construct a Glmnet learner
  > ### Aliases: LearnerGlmnet
  > 
  > ### ** Examples
  > 
  > # binary classification
  > 
  > library(mlbench)
  > data("PimaIndiansDiabetes2")
  > dataset <- PimaIndiansDiabetes2 |>
  +   data.table::as.data.table() |>
  +   na.omit()
  > 
  > seed <- 123
  > feature_cols <- colnames(dataset)[1:8]
  > 
  > train_x <- model.matrix(
  +   ~ -1 + .,
  +   dataset[, .SD, .SDcols = feature_cols]
  + )
  > train_y <- as.integer(dataset[, get("diabetes")]) - 1L
  > 
  > fold_list <- splitTools::create_folds(
  +   y = train_y,
  +   k = 3,
  +   type = "stratified",
  +   seed = seed
  + )
  > glmnet_cv <- mlexperiments::MLCrossValidation$new(
  +   learner = mllrnrs::LearnerGlmnet$new(
  +     metric_optimization_higher_better = FALSE
  +   ),
  +   fold_list = fold_list,
  +   ncores = 2,
  +   seed = 123
  + )
  > glmnet_cv$learner_args <- list(
  +   alpha = 1,
  +   lambda = 0.1,
  +   family = "binomial",
  +   type.measure = "class",
  +   standardize = TRUE
  + )
  > glmnet_cv$predict_args <- list(type = "response")
  > glmnet_cv$performance_metric_args <- list(positive = "1")
  > glmnet_cv$performance_metric <- mlexperiments::metric("auc")
  Error: Package "measures" must be installed to use function 'metric()'.
  Execution halted

Package: mllrnrs
Check: tests
New result: ERROR
    Running ‘testthat.R’ [2s/2s]
  Running the tests in ‘tests/testthat.R’ failed.
  Complete output:
    > # This file is part of the standard setup for testthat.
    > # It is recommended that you do not modify it.
    > #
    > # Where should you do additional test configuration?
    > # Learn more about the roles of various files in:
    > # * https://r-pkgs.org/tests.html
    > # * https://testthat.r-lib.org/reference/test_package.html#special-files
    > # https://github.com/Rdatatable/data.table/issues/5658
    > Sys.setenv("OMP_THREAD_LIMIT" = 2)
    > Sys.setenv("Ncpu" = 2)
    > 
    > library(testthat)
    > library(mllrnrs)
    > 
    > test_check("mllrnrs")
    [ FAIL 17 | WARN 0 | SKIP 1 | PASS 0 ]
    
    ══ Skipped tests (1) ═══════════════════════════════════════════════════════════
    • On CRAN (1): 'test-lints.R:10:5'
    
    ══ Failed tests ════════════════════════════════════════════════════════════════
    ── Error ('test-glmnet_binary.R:88:5'): test nested cv, bayesian, binary - glmnet ──
    Error: Package "measures" must be installed to use function 'metric()'.
    Backtrace:
        ▆
     1. └─mlexperiments::metric("prauc") at test-glmnet_binary.R:88:5
    ── Error ('test-glmnet_binary.R:134:5'): test nested cv, grid - glmnet, errors ──
    Error: Package "measures" must be installed to use function 'metric()'.
    Backtrace:
        ▆
     1. └─mlexperiments::metric("prauc") at test-glmnet_binary.R:134:5
    ── Error ('test-glmnet_multiclass.R:89:5'): test nested cv, bayesian, multiclass - glmnet ──
    Error: Package "measures" must be installed to use function 'metric()'.
    Backtrace:
        ▆
     1. └─mlexperiments::metric("bacc") at test-glmnet_multiclass.R:89:5
    ── Error ('test-glmnet_regression.R:87:5'): test nested cv, bayesian, regression - glmnet ──
    Error: Package "measures" must be installed to use function 'metric()'.
    Backtrace:
        ▆
     1. └─mlexperiments::metric("rmsle") at test-glmnet_regression.R:87:5
    ── Error ('test-glmnet_regression.R:134:5'): test nested cv, grid - glmnet ─────
    Error: Package "measures" must be installed to use function 'metric()'.
    Backtrace:
        ▆
     1. └─mlexperiments::metric("rmsle") at test-glmnet_regression.R:134:5
    ── Error ('test-lightgbm_binary.R:99:5'): test nested cv, bayesian, binary - lightgbm ──
    Error: Package "measures" must be installed to use function 'metric()'.
    Backtrace:
        ▆
     1. └─mlexperiments::metric("auc") at test-lightgbm_binary.R:99:5
    ── Error ('test-lightgbm_multiclass.R:101:5'): test nested cv, bayesian, multiclass - lightgbm ──
    Error: Package "measures" must be installed to use function 'metric()'.
    Backtrace:
        ▆
     1. └─mlexperiments::metric("bacc") at test-lightgbm_multiclass.R:101:5
    ── Error ('test-lightgbm_regression.R:99:5'): test nested cv, bayesian, regression - lightgbm ──
    Error: Package "measures" must be installed to use function 'metric()'.
    Backtrace:
        ▆
     1. └─mlexperiments::metric("msle") at test-lightgbm_regression.R:99:5
    ── Error ('test-lightgbm_regression.R:141:5'): test nested cv, grid - lightgbm ──
    Error: Package "measures" must be installed to use function 'metric()'.
    Backtrace:
        ▆
     1. └─mlexperiments::metric("msle") at test-lightgbm_regression.R:141:5
    ── Error ('test-ranger_binary.R:92:5'): test nested cv, bayesian, binary - ranger ──
    Error: Package "measures" must be installed to use function 'metric()'.
    Backtrace:
        ▆
     1. └─mlexperiments::metric("auc") at test-ranger_binary.R:92:5
    ── Error ('test-ranger_multiclass.R:93:5'): test nested cv, bayesian, regression - ranger ──
    Error: Package "measures" must be installed to use function 'metric()'.
    Backtrace:
        ▆
     1. └─mlexperiments::metric("bacc") at test-ranger_multiclass.R:93:5
    ── Error ('test-ranger_regression.R:87:5'): test nested cv, bayesian, regression - ranger ──
    Error: Package "measures" must be installed to use function 'metric()'.
    Backtrace:
        ▆
     1. └─mlexperiments::metric("msle") at test-ranger_regression.R:87:5
    ── Error ('test-ranger_regression.R:125:5'): test nested cv, grid - ranger ─────
    Error: Package "measures" must be installed to use function 'metric()'.
    Backtrace:
        ▆
     1. └─mlexperiments::metric("msle") at test-ranger_regression.R:125:5
    ── Error ('test-xgboost_binary.R:83:5'): test nested cv, bayesian, binary:logistic - xgboost ──
    Error: Package "measures" must be installed to use function 'metric()'.
    Backtrace:
        ▆
     1. └─mlexperiments::metric("auc") at test-xgboost_binary.R:83:5
    ── Error ('test-xgboost_multiclass.R:86:5'): test nested cv, bayesian, multi:softprob - xgboost, with weights ──
    Error: Package "measures" must be installed to use function 'metric()'.
    Backtrace:
        ▆
     1. └─mlexperiments::metric("bacc") at test-xgboost_multiclass.R:86:5
    ── Error ('test-xgboost_regression.R:82:5'): test nested cv, bayesian, reg:squarederror - xgboost ──
    Error: Package "measures" must be installed to use function 'metric()'.
    Backtrace:
        ▆
     1. └─mlexperiments::metric("msle") at test-xgboost_regression.R:82:5
    ── Error ('test-xgboost_regression.R:125:5'): test nested cv, grid - xgboost ───
    Error: Package "measures" must be installed to use function 'metric()'.
    Backtrace:
        ▆
     1. └─mlexperiments::metric("msle") at test-xgboost_regression.R:125:5
    
    [ FAIL 17 | WARN 0 | SKIP 1 | PASS 0 ]
    Error: Test failures
    Execution halted

Package: mlsurvlrnrs
Check: examples
New result: ERROR
  Running examples in ‘mlsurvlrnrs-Ex.R’ failed
  The error most likely occurred in:
  
  > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
  > ### Name: LearnerSurvCoxPHCox
  > ### Title: R6 Class to construct a Cox proportional hazards survival
  > ###   learner
  > ### Aliases: LearnerSurvCoxPHCox
  > 
  > ### ** Examples
  > 
  > # survival analysis
  > 
  > dataset <- survival::colon |>
  +   data.table::as.data.table() |>
  +   na.omit()
  > dataset <- dataset[get("etype") == 2, ]
  > 
  > seed <- 123
  > surv_cols <- c("status", "time", "rx")
  > 
  > feature_cols <- colnames(dataset)[3:(ncol(dataset) - 1)]
  > 
  > split_vector <- splitTools::multi_strata(
  +   df = dataset[, .SD, .SDcols = surv_cols],
  +   strategy = "kmeans",
  +   k = 4
  + )
  > 
  > train_x <- model.matrix(
  +   ~ -1 + .,
  +   dataset[, .SD, .SDcols = setdiff(feature_cols, surv_cols[1:2])]
  + )
  > train_y <- survival::Surv(
  +   event = (dataset[, get("status")] |>
  +              as.character() |>
  +              as.integer()),
  +   time = dataset[, get("time")],
  +   type = "right"
  + )
  > 
  > fold_list <- splitTools::create_folds(
  +   y = split_vector,
  +   k = 3,
  +   type = "stratified",
  +   seed = seed
  + )
  > 
  > 
  > surv_coxph_cox_optimizer <- mlexperiments::MLCrossValidation$new(
  +   learner = LearnerSurvCoxPHCox$new(),
  +   fold_list = fold_list,
  +   ncores = 1L,
  +   seed = seed
  + )
  > surv_coxph_cox_optimizer$performance_metric <- c_index
  > 
  > # set data
  > surv_coxph_cox_optimizer$set_data(
  +   x = train_x,
  +   y = train_y
  + )
  > 
  > surv_coxph_cox_optimizer$execute()
  
  CV fold: Fold1
  Parameter 'ncores' is ignored for learner 'LearnerSurvCoxPHCox'.
  
  CV fold: Fold2
  Parameter 'ncores' is ignored for learner 'LearnerSurvCoxPHCox'.
  
  CV fold: Fold3
  Parameter 'ncores' is ignored for learner 'LearnerSurvCoxPHCox'.
  Error: Package "measures" must be installed to use function 'metric_types_helper()'.
  Execution halted