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Type 'q()' to quit R. > library(testthat) > library(sl3) > > options(sl3.verbose = FALSE) > test_check("sl3") [1] "Cross-validated risk:" Key: learner aucpr se fold_sd fold_min_aucpr 1: Lrnr_glm_TRUE 0.6072710 0.02444008 0.07728633 0.4808007 2: Lrnr_xgboost_20_1_0_0 0.6843747 0.02517820 0.07962045 0.5490145 3: SuperLearner 0.8465103 0.01639113 0.05183329 0.7606915 fold_max_aucpr 1: 0.7018554 2: 0.8059550 3: 0.9226582 Error in trim_logit(X) %*% alpha : non-conformable arguments Error in trim_logit(X) %*% alpha : non-conformable arguments Error in trim_logit(X) %*% alpha : non-conformable arguments Error in trim_logit(X) %*% alpha : non-conformable arguments Error in private$.train(processed_task) : For evaluation functions that are not loss functions, the folds from the task must be provided to Lrnr_cv_selector [1] "Testing formula with learner: Lrnr_bartMachine" [1] "Testing formula with learner: Lrnr_bayesglm" [1] "Testing formula with learner: Lrnr_dbarts" [1] "Testing formula with learner: Lrnr_earth" [1] "Testing formula with learner: Lrnr_ga" [1] "Testing formula with learner: Lrnr_gbm" [1] "Testing formula with learner: Lrnr_glm" [1] "Testing formula with learner: Lrnr_glm_fast" [1] "Testing formula with learner: Lrnr_glmnet" [1] "Testing formula with learner: Lrnr_grf" [1] "Testing formula with learner: Lrnr_mean" [1] "Testing formula with learner: Lrnr_nnet" [1] "Testing formula with learner: Lrnr_nnls" [1] "Testing formula with learner: Lrnr_optim" [1] "Testing formula with learner: Lrnr_polspline" [1] "Testing formula with learner: Lrnr_randomForest" [1] "Testing formula with learner: Lrnr_rpart" [1] "Testing formula with learner: Lrnr_solnp" [1] "Testing formula with learner: Lrnr_svm" [1] "Testing formula with learner: Lrnr_xgboost" Gu & Wahba 4 term additive model Error in private$.train(processed_task) : Task has an offset; this needs to be specified as another term in the user-supplied formula Error in private$.train(processed_task) : Task has an offset; this needs to be specified as another term in the user-supplied formula Error in private$.train(processed_task) : Task has an offset; this needs to be specified as another term in the user-supplied formula Error in private$.train(processed_task) : A, vs, must be specified as a covariate in sl3_Task Error in self$subset_covariates(task) : Task missing the following covariates expected by Lrnr_grfcate_vs_1: drat [1] "Testing Learner: Lrnr_lightgbm_1_-1" Verifying offsets for Lrnr_glm_TRUE Error in task$offset_transformed(self$fit_object$link_fun, for_prediction = TRUE) : Trained with offsets but predict method called on task without. Verifying offsets for Lrnr_glm_fast_TRUE_Cholesky Error in task$offset_transformed(self$fit_object$link_fun, for_prediction = TRUE) : Trained with offsets but predict method called on task without. Verifying offsets for Lrnr_mean Error in task$offset_transformed(NULL, for_prediction = TRUE) : Trained with offsets but predict method called on task without. Verifying offsets for Lrnr_xgboost_20_1 Error in task$offset_transformed(self$fit_object$link_fun, for_prediction = TRUE) : Trained with offsets but predict method called on task without. [1] "Testing Learner: Lrnr_ranger_500_TRUE_none_1" [1] "Testing Learner: Lrnr_ranger_500_TRUE_none_1" [1] "Testing Learner: Lrnr_rpart_TRUE" [1] "Testing Learner: Lrnr_rpart_TRUE" [1] "Testing importance screener with Learner: Lrnr_randomForest_500_TRUE_5" [1] "Testing importance screener with Learner: Lrnr_ranger_500_TRUE_impurity_1" [1] "Testing importance screener with Learner: Lrnr_xgboost_20_1" [1] "Cross-validated risk:" Key: learner MSE se fold_sd 1: Lrnr_glm_TRUE 1.599168 0.10372679 0.4019573 2: Lrnr_ranger_500_TRUE_none_1 1.502068 0.10401183 0.3317808 3: Lrnr_glmnet_deviance_10_1_100_TRUE 1.604240 0.10317162 0.3961191 4: SuperLearner 1.033872 0.07146319 0.2667202 fold_min_MSE fold_max_MSE 1: 1.1114801 2.509625 2: 1.0488255 2.181091 3: 1.1112316 2.507463 4: 0.6750135 1.486509 The supplied outcome_type kitty is not supported. [1] "Lrnr_density_semiparametric" "Lrnr_density_semiparametric_1" Error in private$.train(processed_task) : this Learner often returns an error on training Error in private$.train(processed_task) : this Learner often returns an error on training Error in private$.train(processed_task) : this Learner often returns an error on training Error in private$.train(processed_task) : this Learner often returns an error on training Error in private$.train(processed_task, trained_sublearners) : All learners in stack have failed Error in private$.train(processed_task) : this Learner often returns an error on training Error in private$.train(processed_task) : this Learner often returns an error on training Error in private$.train(processed_task) : this Learner often returns an error on training Error in private$.train(processed_task) : this Learner often returns an error on training Error in private$.train(processed_task) : this Learner often returns an error on training Error in private$.train(processed_task) : this Learner often returns an error on training Error in private$.train(processed_task) : this Learner often returns an error on training Error in private$.train(processed_task) : this Learner often returns an error on training Error in private$.train(processed_task) : this Learner often returns an error on training Error in private$.train(processed_task) : this Learner often returns an error on training Error in private$.train(processed_task) : this Learner often returns an error on training Error in private$.train(processed_task) : this Learner often returns an error on training Error in private$.train(processed_task) : this Learner often returns an error on training Error in private$.train(processed_task) : this Learner often returns an error on training Error in private$.train(processed_task) : this Learner often returns an error on training Error in private$.train(processed_task) : this Learner often returns an error on training Error in private$.train(processed_task) : this Learner often returns an error on training Error in private$.train(processed_task) : this Learner often returns an error on training Error in private$.train(processed_task) : this Learner often returns an error on training Error in private$.train(processed_task) : this Learner often returns an error on training Error in private$.train(processed_task) : this Learner often returns an error on training Error in private$.train(processed_task) : this Learner often returns an error on training Error in private$.train(processed_task) : this Learner often returns an error on training Error in private$.train(processed_task) : this Learner often returns an error on training Error in private$.train(processed_task) : this Learner often returns an error on training Error in private$.train(processed_task) : this Learner often returns an error on training Error in private$.train(processed_task) : this Learner often returns an error on training Error in private$.train(processed_task) : this Learner often returns an error on training Error in private$.train(processed_task) : this Learner often returns an error on training Error in private$.train(processed_task) : this Learner often returns an error on training Error in private$.train(processed_task) : this Learner often returns an error on training Error in private$.train(processed_task) : this Learner often returns an error on training Error in private$.train(processed_task) : this Learner often returns an error on training Error in self$subset_covariates(task) : Task missing the following covariates expected by Lrnr_glm_fast_TRUE_Cholesky: drat, wt, qsec, vs, am, gear, carb [1] "Testing Learner: Lrnr_svm_TRUE_radial_TRUE_FALSE" [1] "Testing Learner: Lrnr_svm_TRUE_radial_TRUE_FALSE" [1] "Testing Learner: Lrnr_svm_TRUE_radial_TRUE_FALSE" Error in private$.train(processed_task) : Task must contain node for times. [1] "Testing Learner: Lrnr_xgboost_20_1_0_0" [1] "Testing Learner: Lrnr_xgboost_20_1_0_0" [ FAIL 0 | WARN 1 | SKIP 16 | PASS 408 ] ══ Skipped tests (16) ══════════════════════════════════════════════════════════ • On CRAN (6): 'test-bartMachine.R:2:1', 'test-bound.R:3:1', 'test-caret.R:6:1', 'test-cv.R:2:1', 'test-hal9001.R:3:1', 'test-zzz_h2o.R:2:1' • On Windows (8): 'test-lightgbm.R:19:5', 'test-lightgbm.R:26:5', 'test-lightgbm.R:36:5', 'test-lightgbm.R:43:5', 'test-lightgbm.R:55:3', 'test-lightgbm.R:82:3', 'test-lightgbm.R:115:3', 'test-lightgbm.R:154:3' • Skipping (2): 'test-gts.R:2:1', 'test-hts.R:2:1' [ FAIL 0 | WARN 1 | SKIP 16 | PASS 408 ] > > proc.time() user system elapsed 1010.67 45.82 1052.73