CRAN Package Check Results for Maintainer ‘Szymon Maksymiuk <sz.maksymiuk at gmail.com>’

Last updated on 2025-12-26 17:49:19 CET.

Package ERROR NOTE OK
checked 13
DALEXtra 9 4
EIX 9 4
shapper 5 8

Package checked

Current CRAN status: OK: 13

Package DALEXtra

Current CRAN status: ERROR: 9, OK: 4

Additional issues

donttest

Version: 2.3.0
Check: CRAN incoming feasibility
Result: NOTE Maintainer: ‘Szymon Maksymiuk <sz.maksymiuk@gmail.com>’ The Description field contains 'DALEXtra' creates 'DALEX' Biecek (2018) <arXiv:1806.08915> explainer Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>. Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Version: 2.3.0
Check: examples
Result: ERROR Running examples in ‘DALEXtra-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: explain_xgboost > ### Title: Create explainer from your xgboost model > ### Aliases: explain_xgboost > > ### ** Examples > > library("xgboost") > library("DALEXtra") > library("mlr") Loading required package: ParamHelpers > # 8th column is target that has to be omitted in X data > data <- as.matrix(createDummyFeatures(titanic_imputed[,-8])) > model <- xgboost(data, titanic_imputed$survived, nrounds = 10, + params = list(objective = "binary:logistic"), + prediction = TRUE) Warning in throw_err_or_depr_msg("Parameter(s) have been removed from this function: ", : Parameter(s) have been removed from this function: params. This warning will become an error in a future version. Warning in throw_err_or_depr_msg("Passed unrecognized parameters: ", paste(head(names_unrecognized), : Passed unrecognized parameters: prediction. This warning will become an error in a future version. > # explainer with encode functiom > explainer_1 <- explain_xgboost(model, data = titanic_imputed[,-8], + titanic_imputed$survived, + encode_function = function(data) { + as.matrix(createDummyFeatures(data)) + }) Preparation of a new explainer is initiated -> model label : xgb.Booster ( <1b>[33m default <1b>[39m ) -> data : 2207 rows 7 cols -> target variable : 2207 values -> predict function : yhat.xgb.Booster will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) Error in strsplit(model$params$objective, ":", fixed = TRUE) : non-character argument Calls: explain_xgboost ... explain -> model_info -> model_info.xgb.Booster -> strsplit Execution halted Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-patched-linux-x86_64, r-release-linux-x86_64

Version: 2.3.0
Check: tests
Result: ERROR Running ‘testthat.R’ [247s/318s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(DALEXtra) Loading required package: DALEX Welcome to DALEX (version: 2.5.3). Find examples and detailed introduction at: http://ema.drwhy.ai/ Additional features will be available after installation of: ggpubr. Use 'install_dependencies()' to get all suggested dependencies > > test_check("DALEXtra") Preparation of a new explainer is initiated -> model label : LM -> data : 9000 rows 6 cols -> target variable : 9000 values -> predict function : yhat.WrappedModel will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package mlr , ver. 2.19.3 , task regression ( <1b>[33m default <1b>[39m ) -> predicted values : numerical, min = 1792.597 , mean = 3506.836 , max = 6241.447 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) -> residuals : numerical, min = -257.2555 , mean = 4.687686 , max = 472.356 <1b>[32m A new explainer has been created! <1b>[39m Preparation of a new explainer is initiated -> model label : RF -> data : 9000 rows 6 cols -> target variable : 9000 values -> predict function : yhat.WrappedModel will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package mlr , ver. 2.19.3 , task regression ( <1b>[33m default <1b>[39m ) -> predicted values : numerical, min = 1797.14 , mean = 3504.25 , max = 6247.628 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) -> residuals : numerical, min = -545.6288 , mean = 7.273527 , max = 736.8798 <1b>[32m A new explainer has been created! <1b>[39m Preparation of a new explainer is initiated -> model label : GBM -> data : 9000 rows 6 cols -> target variable : 9000 values -> predict function : yhat.WrappedModel will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package mlr , ver. 2.19.3 , task regression ( <1b>[33m default <1b>[39m ) -> predicted values : numerical, min = 2121.962 , mean = 3502.803 , max = 6035.104 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) -> residuals : numerical, min = -587.2718 , mean = 8.720837 , max = 757.7014 <1b>[32m A new explainer has been created! <1b>[39m additional arguments ignored in warning() Preparation of a new explainer is initiated -> model label : ranger ( <1b>[33m default <1b>[39m ) -> data : 2207 rows 7 cols -> target variable : 2207 values -> predict function : yhat.ranger will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package ranger , ver. 0.17.0 , task classification ( <1b>[33m default <1b>[39m ) -> predicted values : numerical, min = 0.013845 , mean = 0.3220137 , max = 0.9916873 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) -> residuals : numerical, min = -0.795833 , mean = 0.0001430893 , max = 0.884544 <1b>[32m A new explainer has been created! <1b>[39m additional arguments ignored in warning() Saving _problems/test_xgboost_explain-13.R Saving _problems/test_xgboost_explain-31.R Saving _problems/test_xgboost_explain-50.R [ FAIL 3 | WARN 15 | SKIP 11 | PASS 44 ] ══ Skipped tests (11) ══════════════════════════════════════════════════════════ • Conda test env needed for tests (6): 'test_create_env.R:6:3', 'test_create_env.R:27:3', 'test_create_env.R:40:3', 'test_keras_explain.R:6:2', 'test_scikitlearn_explain.R:6:3', 'tests_prints.R:8:3' • JAVA entry needed for tests (4): 'test_h2o_explain.R:8:3', 'test_h2o_explain.R:33:3', 'test_h2o_explain.R:56:3', 'test_h2o_explain.R:90:3' • Test with windows (1): 'test_champion_challenger.R:5:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_xgboost_explain.R:11:3'): creating explainer classif ─────────── Error in `strsplit(model$params$objective, ":", fixed = TRUE)`: non-character argument Backtrace: ▆ 1. └─DALEXtra::explain_xgboost(...) at test_xgboost_explain.R:11:3 2. └─DALEX::explain(...) 3. ├─DALEX::model_info(model, is_multiclass = task_subtype) 4. └─DALEXtra:::model_info.xgb.Booster(model, is_multiclass = task_subtype) 5. └─base::strsplit(model$params$objective, ":", fixed = TRUE) ── Error ('test_xgboost_explain.R:29:3'): creating explainer regr ────────────── Error in `strsplit(model$params$objective, ":", fixed = TRUE)`: non-character argument Backtrace: ▆ 1. └─DALEXtra::explain_xgboost(...) at test_xgboost_explain.R:29:3 2. └─DALEX::explain(...) 3. ├─DALEX::model_info(model, is_multiclass = task_subtype) 4. └─DALEXtra:::model_info.xgb.Booster(model, is_multiclass = task_subtype) 5. └─base::strsplit(model$params$objective, ":", fixed = TRUE) ── Error ('test_xgboost_explain.R:48:3'): creating explainer multi ───────────── Error in `strsplit(model$params$objective, ":", fixed = TRUE)`: non-character argument Backtrace: ▆ 1. └─DALEXtra::explain_xgboost(...) at test_xgboost_explain.R:48:3 2. └─DALEX::explain(...) 3. ├─DALEX::model_info(model, is_multiclass = task_subtype) 4. └─DALEXtra:::model_info.xgb.Booster(model, is_multiclass = task_subtype) 5. └─base::strsplit(model$params$objective, ":", fixed = TRUE) [ FAIL 3 | WARN 15 | SKIP 11 | PASS 44 ] Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-debian-clang

Version: 2.3.0
Check: tests
Result: ERROR Running ‘testthat.R’ [176s/240s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(DALEXtra) Loading required package: DALEX Welcome to DALEX (version: 2.5.3). Find examples and detailed introduction at: http://ema.drwhy.ai/ Additional features will be available after installation of: ggpubr. Use 'install_dependencies()' to get all suggested dependencies > > test_check("DALEXtra") Preparation of a new explainer is initiated -> model label : LM -> data : 9000 rows 6 cols -> target variable : 9000 values -> predict function : yhat.WrappedModel will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package mlr , ver. 2.19.3 , task regression ( <1b>[33m default <1b>[39m ) -> predicted values : numerical, min = 1792.597 , mean = 3506.836 , max = 6241.447 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) -> residuals : numerical, min = -257.2555 , mean = 4.687686 , max = 472.356 <1b>[32m A new explainer has been created! <1b>[39m Preparation of a new explainer is initiated -> model label : RF -> data : 9000 rows 6 cols -> target variable : 9000 values -> predict function : yhat.WrappedModel will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package mlr , ver. 2.19.3 , task regression ( <1b>[33m default <1b>[39m ) -> predicted values : numerical, min = 1780.92 , mean = 3505.665 , max = 6260.437 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) -> residuals : numerical, min = -548.9569 , mean = 5.858323 , max = 759.9193 <1b>[32m A new explainer has been created! <1b>[39m Preparation of a new explainer is initiated -> model label : GBM -> data : 9000 rows 6 cols -> target variable : 9000 values -> predict function : yhat.WrappedModel will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package mlr , ver. 2.19.3 , task regression ( <1b>[33m default <1b>[39m ) -> predicted values : numerical, min = 2116.622 , mean = 3505.067 , max = 6047.118 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) -> residuals : numerical, min = -553.4668 , mean = 6.456724 , max = 712.9095 <1b>[32m A new explainer has been created! <1b>[39m additional arguments ignored in warning() Preparation of a new explainer is initiated -> model label : ranger ( <1b>[33m default <1b>[39m ) -> data : 2207 rows 7 cols -> target variable : 2207 values -> predict function : yhat.ranger will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package ranger , ver. 0.17.0 , task classification ( <1b>[33m default <1b>[39m ) -> predicted values : numerical, min = 0.01587324 , mean = 0.3226276 , max = 0.9927234 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) -> residuals : numerical, min = -0.7797592 , mean = -0.0004707918 , max = 0.8819502 <1b>[32m A new explainer has been created! <1b>[39m additional arguments ignored in warning() Saving _problems/test_xgboost_explain-13.R Saving _problems/test_xgboost_explain-31.R Saving _problems/test_xgboost_explain-50.R [ FAIL 3 | WARN 15 | SKIP 11 | PASS 44 ] ══ Skipped tests (11) ══════════════════════════════════════════════════════════ • Conda test env needed for tests (6): 'test_create_env.R:6:3', 'test_create_env.R:27:3', 'test_create_env.R:40:3', 'test_keras_explain.R:6:2', 'test_scikitlearn_explain.R:6:3', 'tests_prints.R:8:3' • JAVA entry needed for tests (4): 'test_h2o_explain.R:8:3', 'test_h2o_explain.R:33:3', 'test_h2o_explain.R:56:3', 'test_h2o_explain.R:90:3' • Test with windows (1): 'test_champion_challenger.R:5:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_xgboost_explain.R:11:3'): creating explainer classif ─────────── Error in `strsplit(model$params$objective, ":", fixed = TRUE)`: non-character argument Backtrace: ▆ 1. └─DALEXtra::explain_xgboost(...) at test_xgboost_explain.R:11:3 2. └─DALEX::explain(...) 3. ├─DALEX::model_info(model, is_multiclass = task_subtype) 4. └─DALEXtra:::model_info.xgb.Booster(model, is_multiclass = task_subtype) 5. └─base::strsplit(model$params$objective, ":", fixed = TRUE) ── Error ('test_xgboost_explain.R:29:3'): creating explainer regr ────────────── Error in `strsplit(model$params$objective, ":", fixed = TRUE)`: non-character argument Backtrace: ▆ 1. └─DALEXtra::explain_xgboost(...) at test_xgboost_explain.R:29:3 2. └─DALEX::explain(...) 3. ├─DALEX::model_info(model, is_multiclass = task_subtype) 4. └─DALEXtra:::model_info.xgb.Booster(model, is_multiclass = task_subtype) 5. └─base::strsplit(model$params$objective, ":", fixed = TRUE) ── Error ('test_xgboost_explain.R:48:3'): creating explainer multi ───────────── Error in `strsplit(model$params$objective, ":", fixed = TRUE)`: non-character argument Backtrace: ▆ 1. └─DALEXtra::explain_xgboost(...) at test_xgboost_explain.R:48:3 2. └─DALEX::explain(...) 3. ├─DALEX::model_info(model, is_multiclass = task_subtype) 4. └─DALEXtra:::model_info.xgb.Booster(model, is_multiclass = task_subtype) 5. └─base::strsplit(model$params$objective, ":", fixed = TRUE) [ FAIL 3 | WARN 15 | SKIP 11 | PASS 44 ] Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-debian-gcc

Version: 2.3.0
Check: examples
Result: ERROR Running examples in ‘DALEXtra-Ex.R’ failed The error most likely occurred in: > ### Name: explain_xgboost > ### Title: Create explainer from your xgboost model > ### Aliases: explain_xgboost > > ### ** Examples > > library("xgboost") > library("DALEXtra") > library("mlr") Loading required package: ParamHelpers > # 8th column is target that has to be omitted in X data > data <- as.matrix(createDummyFeatures(titanic_imputed[,-8])) > model <- xgboost(data, titanic_imputed$survived, nrounds = 10, + params = list(objective = "binary:logistic"), + prediction = TRUE) Warning in throw_err_or_depr_msg("Parameter(s) have been removed from this function: ", : Parameter(s) have been removed from this function: params. This warning will become an error in a future version. Warning in throw_err_or_depr_msg("Passed unrecognized parameters: ", paste(head(names_unrecognized), : Passed unrecognized parameters: prediction. This warning will become an error in a future version. > # explainer with encode functiom > explainer_1 <- explain_xgboost(model, data = titanic_imputed[,-8], + titanic_imputed$survived, + encode_function = function(data) { + as.matrix(createDummyFeatures(data)) + }) Preparation of a new explainer is initiated -> model label : xgb.Booster ( <1b>[33m default <1b>[39m ) -> data : 2207 rows 7 cols -> target variable : 2207 values -> predict function : yhat.xgb.Booster will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) Error in strsplit(model$params$objective, ":", fixed = TRUE) : non-character argument Calls: explain_xgboost ... explain -> model_info -> model_info.xgb.Booster -> strsplit Execution halted Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-release-windows-x86_64, r-oldrel-windows-x86_64

Version: 2.3.0
Check: tests
Result: ERROR Running ‘testthat.R’ [7m/20m] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(DALEXtra) Loading required package: DALEX Welcome to DALEX (version: 2.5.3). Find examples and detailed introduction at: http://ema.drwhy.ai/ Additional features will be available after installation of: ggpubr. Use 'install_dependencies()' to get all suggested dependencies > > test_check("DALEXtra") Preparation of a new explainer is initiated -> model label : LM -> data : 9000 rows 6 cols -> target variable : 9000 values -> predict function : yhat.WrappedModel will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package mlr , ver. 2.19.3 , task regression ( <1b>[33m default <1b>[39m ) -> predicted values : numerical, min = 1792.597 , mean = 3506.836 , max = 6241.447 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) -> residuals : numerical, min = -257.2555 , mean = 4.687686 , max = 472.356 <1b>[32m A new explainer has been created! <1b>[39m Preparation of a new explainer is initiated -> model label : RF -> data : 9000 rows 6 cols -> target variable : 9000 values -> predict function : yhat.WrappedModel will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package mlr , ver. 2.19.3 , task regression ( <1b>[33m default <1b>[39m ) -> predicted values : numerical, min = 1810.411 , mean = 3504.683 , max = 6244.71 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) -> residuals : numerical, min = -554.9215 , mean = 6.8401 , max = 774.7968 <1b>[32m A new explainer has been created! <1b>[39m Preparation of a new explainer is initiated -> model label : GBM -> data : 9000 rows 6 cols -> target variable : 9000 values -> predict function : yhat.WrappedModel will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package mlr , ver. 2.19.3 , task regression ( <1b>[33m default <1b>[39m ) -> predicted values : numerical, min = 2129.971 , mean = 3503.657 , max = 6054.718 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) -> residuals : numerical, min = -526.9708 , mean = 7.866705 , max = 731.4775 <1b>[32m A new explainer has been created! <1b>[39m additional arguments ignored in warning() Preparation of a new explainer is initiated -> model label : ranger ( <1b>[33m default <1b>[39m ) -> data : 2207 rows 7 cols -> target variable : 2207 values -> predict function : yhat.ranger will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package ranger , ver. 0.17.0 , task classification ( <1b>[33m default <1b>[39m ) -> predicted values : numerical, min = 0.01514996 , mean = 0.3223731 , max = 0.9936661 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) -> residuals : numerical, min = -0.7842452 , mean = -0.000216355 , max = 0.8900432 <1b>[32m A new explainer has been created! <1b>[39m additional arguments ignored in warning() Saving _problems/test_xgboost_explain-13.R Saving _problems/test_xgboost_explain-31.R Saving _problems/test_xgboost_explain-50.R [ FAIL 3 | WARN 15 | SKIP 11 | PASS 44 ] ══ Skipped tests (11) ══════════════════════════════════════════════════════════ • Conda test env needed for tests (6): 'test_create_env.R:6:3', 'test_create_env.R:27:3', 'test_create_env.R:40:3', 'test_keras_explain.R:6:2', 'test_scikitlearn_explain.R:6:3', 'tests_prints.R:8:3' • JAVA entry needed for tests (4): 'test_h2o_explain.R:8:3', 'test_h2o_explain.R:33:3', 'test_h2o_explain.R:56:3', 'test_h2o_explain.R:90:3' • Test with windows (1): 'test_champion_challenger.R:5:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_xgboost_explain.R:11:3'): creating explainer classif ─────────── Error in `strsplit(model$params$objective, ":", fixed = TRUE)`: non-character argument Backtrace: ▆ 1. └─DALEXtra::explain_xgboost(...) at test_xgboost_explain.R:11:3 2. └─DALEX::explain(...) 3. ├─DALEX::model_info(model, is_multiclass = task_subtype) 4. └─DALEXtra:::model_info.xgb.Booster(model, is_multiclass = task_subtype) 5. └─base::strsplit(model$params$objective, ":", fixed = TRUE) ── Error ('test_xgboost_explain.R:29:3'): creating explainer regr ────────────── Error in `strsplit(model$params$objective, ":", fixed = TRUE)`: non-character argument Backtrace: ▆ 1. └─DALEXtra::explain_xgboost(...) at test_xgboost_explain.R:29:3 2. └─DALEX::explain(...) 3. ├─DALEX::model_info(model, is_multiclass = task_subtype) 4. └─DALEXtra:::model_info.xgb.Booster(model, is_multiclass = task_subtype) 5. └─base::strsplit(model$params$objective, ":", fixed = TRUE) ── Error ('test_xgboost_explain.R:48:3'): creating explainer multi ───────────── Error in `strsplit(model$params$objective, ":", fixed = TRUE)`: non-character argument Backtrace: ▆ 1. └─DALEXtra::explain_xgboost(...) at test_xgboost_explain.R:48:3 2. └─DALEX::explain(...) 3. ├─DALEX::model_info(model, is_multiclass = task_subtype) 4. └─DALEXtra:::model_info.xgb.Booster(model, is_multiclass = task_subtype) 5. └─base::strsplit(model$params$objective, ":", fixed = TRUE) [ FAIL 3 | WARN 15 | SKIP 11 | PASS 44 ] Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-fedora-clang

Version: 2.3.0
Check: tests
Result: ERROR Running ‘testthat.R’ [381s/506s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(DALEXtra) Loading required package: DALEX Welcome to DALEX (version: 2.5.3). Find examples and detailed introduction at: http://ema.drwhy.ai/ > > test_check("DALEXtra") Preparation of a new explainer is initiated -> model label : LM -> data : 9000 rows 6 cols -> target variable : 9000 values -> predict function : yhat.WrappedModel will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package mlr , ver. 2.19.3 , task regression ( <1b>[33m default <1b>[39m ) -> predicted values : numerical, min = 1792.597 , mean = 3506.836 , max = 6241.447 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) -> residuals : numerical, min = -257.2555 , mean = 4.687686 , max = 472.356 <1b>[32m A new explainer has been created! <1b>[39m Preparation of a new explainer is initiated -> model label : RF -> data : 9000 rows 6 cols -> target variable : 9000 values -> predict function : yhat.WrappedModel will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package mlr , ver. 2.19.3 , task regression ( <1b>[33m default <1b>[39m ) -> predicted values : numerical, min = 1787.108 , mean = 3505.366 , max = 6257.454 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) -> residuals : numerical, min = -550.3216 , mean = 6.157272 , max = 756.7292 <1b>[32m A new explainer has been created! <1b>[39m Preparation of a new explainer is initiated -> model label : GBM -> data : 9000 rows 6 cols -> target variable : 9000 values -> predict function : yhat.WrappedModel will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package mlr , ver. 2.19.3 , task regression ( <1b>[33m default <1b>[39m ) -> predicted values : numerical, min = 2117.094 , mean = 3503.09 , max = 6053.704 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) -> residuals : numerical, min = -514.0939 , mean = 8.433514 , max = 745.653 <1b>[32m A new explainer has been created! <1b>[39m additional arguments ignored in warning() Preparation of a new explainer is initiated -> model label : ranger ( <1b>[33m default <1b>[39m ) -> data : 2207 rows 7 cols -> target variable : 2207 values -> predict function : yhat.ranger will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package ranger , ver. 0.17.0 , task classification ( <1b>[33m default <1b>[39m ) -> predicted values : numerical, min = 0.01209228 , mean = 0.3223495 , max = 0.9899283 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) -> residuals : numerical, min = -0.7674164 , mean = -0.0001926773 , max = 0.8822536 <1b>[32m A new explainer has been created! <1b>[39m additional arguments ignored in warning() Saving _problems/test_xgboost_explain-13.R Saving _problems/test_xgboost_explain-31.R Saving _problems/test_xgboost_explain-50.R [ FAIL 3 | WARN 15 | SKIP 11 | PASS 44 ] ══ Skipped tests (11) ══════════════════════════════════════════════════════════ • Conda test env needed for tests (6): 'test_create_env.R:6:3', 'test_create_env.R:27:3', 'test_create_env.R:40:3', 'test_keras_explain.R:6:2', 'test_scikitlearn_explain.R:6:3', 'tests_prints.R:8:3' • JAVA entry needed for tests (4): 'test_h2o_explain.R:8:3', 'test_h2o_explain.R:33:3', 'test_h2o_explain.R:56:3', 'test_h2o_explain.R:90:3' • Test with windows (1): 'test_champion_challenger.R:5:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_xgboost_explain.R:11:3'): creating explainer classif ─────────── Error in `strsplit(model$params$objective, ":", fixed = TRUE)`: non-character argument Backtrace: ▆ 1. └─DALEXtra::explain_xgboost(...) at test_xgboost_explain.R:11:3 2. └─DALEX::explain(...) 3. ├─DALEX::model_info(model, is_multiclass = task_subtype) 4. └─DALEXtra:::model_info.xgb.Booster(model, is_multiclass = task_subtype) 5. └─base::strsplit(model$params$objective, ":", fixed = TRUE) ── Error ('test_xgboost_explain.R:29:3'): creating explainer regr ────────────── Error in `strsplit(model$params$objective, ":", fixed = TRUE)`: non-character argument Backtrace: ▆ 1. └─DALEXtra::explain_xgboost(...) at test_xgboost_explain.R:29:3 2. └─DALEX::explain(...) 3. ├─DALEX::model_info(model, is_multiclass = task_subtype) 4. └─DALEXtra:::model_info.xgb.Booster(model, is_multiclass = task_subtype) 5. └─base::strsplit(model$params$objective, ":", fixed = TRUE) ── Error ('test_xgboost_explain.R:48:3'): creating explainer multi ───────────── Error in `strsplit(model$params$objective, ":", fixed = TRUE)`: non-character argument Backtrace: ▆ 1. └─DALEXtra::explain_xgboost(...) at test_xgboost_explain.R:48:3 2. └─DALEX::explain(...) 3. ├─DALEX::model_info(model, is_multiclass = task_subtype) 4. └─DALEXtra:::model_info.xgb.Booster(model, is_multiclass = task_subtype) 5. └─base::strsplit(model$params$objective, ":", fixed = TRUE) [ FAIL 3 | WARN 15 | SKIP 11 | PASS 44 ] Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 2.3.0
Check: tests
Result: ERROR Running 'testthat.R' [352s] Running the tests in 'tests/testthat.R' failed. Complete output: > library(testthat) > library(DALEXtra) Loading required package: DALEX Welcome to DALEX (version: 2.5.3). Find examples and detailed introduction at: http://ema.drwhy.ai/ Additional features will be available after installation of: ggpubr. Use 'install_dependencies()' to get all suggested dependencies > > test_check("DALEXtra") | | | 0% | |============ | 17% | |======================= | 33% | |=================================== | 50% | |=============================================== | 67% | |========================================================== | 83% | |======================================================================| 100%Preparation of a new explainer is initiated -> model label : LM -> data : 9000 rows 6 cols -> target variable : 9000 values -> predict function : yhat.WrappedModel will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package mlr , ver. 2.19.3 , task regression ( <1b>[33m default <1b>[39m ) -> predicted values : numerical, min = 1792.597 , mean = 3506.836 , max = 6241.447 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) -> residuals : numerical, min = -257.2555 , mean = 4.687686 , max = 472.356 <1b>[32m A new explainer has been created! <1b>[39m Preparation of a new explainer is initiated -> model label : RF -> data : 9000 rows 6 cols -> target variable : 9000 values -> predict function : yhat.WrappedModel will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package mlr , ver. 2.19.3 , task regression ( <1b>[33m default <1b>[39m ) -> predicted values : numerical, min = 1787.051 , mean = 3505.13 , max = 6264.625 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) -> residuals : numerical, min = -535.9675 , mean = 6.393284 , max = 752.6172 <1b>[32m A new explainer has been created! <1b>[39m Preparation of a new explainer is initiated -> model label : GBM -> data : 9000 rows 6 cols -> target variable : 9000 values -> predict function : yhat.WrappedModel will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package mlr , ver. 2.19.3 , task regression ( <1b>[33m default <1b>[39m ) -> predicted values : numerical, min = 2116.903 , mean = 3503.191 , max = 6044.035 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) -> residuals : numerical, min = -523.8129 , mean = 8.332406 , max = 792.6395 <1b>[32m A new explainer has been created! <1b>[39m additional arguments ignored in warning() Preparation of a new explainer is initiated -> model label : ranger ( <1b>[33m default <1b>[39m ) -> data : 2207 rows 7 cols -> target variable : 2207 values -> predict function : yhat.ranger will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package ranger , ver. 0.17.0 , task classification ( <1b>[33m default <1b>[39m ) -> predicted values : numerical, min = 0.01350844 , mean = 0.3225411 , max = 0.9906248 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) -> residuals : numerical, min = -0.7951048 , mean = -0.0003842937 , max = 0.8844139 <1b>[32m A new explainer has been created! <1b>[39m additional arguments ignored in warning() Saving _problems/test_xgboost_explain-13.R Saving _problems/test_xgboost_explain-31.R Saving _problems/test_xgboost_explain-50.R [ FAIL 3 | WARN 13 | SKIP 10 | PASS 45 ] ══ Skipped tests (10) ══════════════════════════════════════════════════════════ • Conda test env needed for tests (6): 'test_create_env.R:6:3', 'test_create_env.R:27:3', 'test_create_env.R:40:3', 'test_keras_explain.R:6:2', 'test_scikitlearn_explain.R:6:3', 'tests_prints.R:8:3' • JAVA entry needed for tests (4): 'test_h2o_explain.R:8:3', 'test_h2o_explain.R:33:3', 'test_h2o_explain.R:56:3', 'test_h2o_explain.R:90:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_xgboost_explain.R:11:3'): creating explainer classif ─────────── Error in `strsplit(model$params$objective, ":", fixed = TRUE)`: non-character argument Backtrace: ▆ 1. └─DALEXtra::explain_xgboost(...) at test_xgboost_explain.R:11:3 2. └─DALEX::explain(...) 3. ├─DALEX::model_info(model, is_multiclass = task_subtype) 4. └─DALEXtra:::model_info.xgb.Booster(model, is_multiclass = task_subtype) 5. └─base::strsplit(model$params$objective, ":", fixed = TRUE) ── Error ('test_xgboost_explain.R:29:3'): creating explainer regr ────────────── Error in `strsplit(model$params$objective, ":", fixed = TRUE)`: non-character argument Backtrace: ▆ 1. └─DALEXtra::explain_xgboost(...) at test_xgboost_explain.R:29:3 2. └─DALEX::explain(...) 3. ├─DALEX::model_info(model, is_multiclass = task_subtype) 4. └─DALEXtra:::model_info.xgb.Booster(model, is_multiclass = task_subtype) 5. └─base::strsplit(model$params$objective, ":", fixed = TRUE) ── Error ('test_xgboost_explain.R:48:3'): creating explainer multi ───────────── Error in `strsplit(model$params$objective, ":", fixed = TRUE)`: non-character argument Backtrace: ▆ 1. └─DALEXtra::explain_xgboost(...) at test_xgboost_explain.R:48:3 2. └─DALEX::explain(...) 3. ├─DALEX::model_info(model, is_multiclass = task_subtype) 4. └─DALEXtra:::model_info.xgb.Booster(model, is_multiclass = task_subtype) 5. └─base::strsplit(model$params$objective, ":", fixed = TRUE) [ FAIL 3 | WARN 13 | SKIP 10 | PASS 45 ] Error: ! Test failures. Execution halted Flavor: r-devel-windows-x86_64

Version: 2.3.0
Check: tests
Result: ERROR Running ‘testthat.R’ [245s/340s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(DALEXtra) Loading required package: DALEX Welcome to DALEX (version: 2.5.3). Find examples and detailed introduction at: http://ema.drwhy.ai/ Additional features will be available after installation of: ggpubr. Use 'install_dependencies()' to get all suggested dependencies > > test_check("DALEXtra") Preparation of a new explainer is initiated -> model label : LM -> data : 9000 rows 6 cols -> target variable : 9000 values -> predict function : yhat.WrappedModel will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package mlr , ver. 2.19.3 , task regression ( <1b>[33m default <1b>[39m ) -> predicted values : numerical, min = 1792.597 , mean = 3506.836 , max = 6241.447 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) -> residuals : numerical, min = -257.2555 , mean = 4.687686 , max = 472.356 <1b>[32m A new explainer has been created! <1b>[39m Preparation of a new explainer is initiated -> model label : RF -> data : 9000 rows 6 cols -> target variable : 9000 values -> predict function : yhat.WrappedModel will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package mlr , ver. 2.19.3 , task regression ( <1b>[33m default <1b>[39m ) -> predicted values : numerical, min = 1801.923 , mean = 3505.98 , max = 6248.935 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) -> residuals : numerical, min = -540.3313 , mean = 5.543661 , max = 729.387 <1b>[32m A new explainer has been created! <1b>[39m Preparation of a new explainer is initiated -> model label : GBM -> data : 9000 rows 6 cols -> target variable : 9000 values -> predict function : yhat.WrappedModel will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package mlr , ver. 2.19.3 , task regression ( <1b>[33m default <1b>[39m ) -> predicted values : numerical, min = 2113.265 , mean = 3501.704 , max = 6054.182 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) -> residuals : numerical, min = -577.7813 , mean = 9.819881 , max = 776.0686 <1b>[32m A new explainer has been created! <1b>[39m additional arguments ignored in warning() Preparation of a new explainer is initiated -> model label : ranger ( <1b>[33m default <1b>[39m ) -> data : 2207 rows 7 cols -> target variable : 2207 values -> predict function : yhat.ranger will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package ranger , ver. 0.17.0 , task classification ( <1b>[33m default <1b>[39m ) -> predicted values : numerical, min = 0.01420186 , mean = 0.323003 , max = 0.9897365 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) -> residuals : numerical, min = -0.7900027 , mean = -0.0008461767 , max = 0.8852238 <1b>[32m A new explainer has been created! <1b>[39m additional arguments ignored in warning() Saving _problems/test_xgboost_explain-13.R Saving _problems/test_xgboost_explain-31.R Saving _problems/test_xgboost_explain-50.R [ FAIL 3 | WARN 15 | SKIP 11 | PASS 44 ] ══ Skipped tests (11) ══════════════════════════════════════════════════════════ • Conda test env needed for tests (6): 'test_create_env.R:6:3', 'test_create_env.R:27:3', 'test_create_env.R:40:3', 'test_keras_explain.R:6:2', 'test_scikitlearn_explain.R:6:3', 'tests_prints.R:8:3' • JAVA entry needed for tests (4): 'test_h2o_explain.R:8:3', 'test_h2o_explain.R:33:3', 'test_h2o_explain.R:56:3', 'test_h2o_explain.R:90:3' • Test with windows (1): 'test_champion_challenger.R:5:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_xgboost_explain.R:11:3'): creating explainer classif ─────────── Error in `strsplit(model$params$objective, ":", fixed = TRUE)`: non-character argument Backtrace: ▆ 1. └─DALEXtra::explain_xgboost(...) at test_xgboost_explain.R:11:3 2. └─DALEX::explain(...) 3. ├─DALEX::model_info(model, is_multiclass = task_subtype) 4. └─DALEXtra:::model_info.xgb.Booster(model, is_multiclass = task_subtype) 5. └─base::strsplit(model$params$objective, ":", fixed = TRUE) ── Error ('test_xgboost_explain.R:29:3'): creating explainer regr ────────────── Error in `strsplit(model$params$objective, ":", fixed = TRUE)`: non-character argument Backtrace: ▆ 1. └─DALEXtra::explain_xgboost(...) at test_xgboost_explain.R:29:3 2. └─DALEX::explain(...) 3. ├─DALEX::model_info(model, is_multiclass = task_subtype) 4. └─DALEXtra:::model_info.xgb.Booster(model, is_multiclass = task_subtype) 5. └─base::strsplit(model$params$objective, ":", fixed = TRUE) ── Error ('test_xgboost_explain.R:48:3'): creating explainer multi ───────────── Error in `strsplit(model$params$objective, ":", fixed = TRUE)`: non-character argument Backtrace: ▆ 1. └─DALEXtra::explain_xgboost(...) at test_xgboost_explain.R:48:3 2. └─DALEX::explain(...) 3. ├─DALEX::model_info(model, is_multiclass = task_subtype) 4. └─DALEXtra:::model_info.xgb.Booster(model, is_multiclass = task_subtype) 5. └─base::strsplit(model$params$objective, ":", fixed = TRUE) [ FAIL 3 | WARN 15 | SKIP 11 | PASS 44 ] Error: ! Test failures. Execution halted Flavor: r-patched-linux-x86_64

Version: 2.3.0
Check: tests
Result: ERROR Running ‘testthat.R’ [242s/289s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(DALEXtra) Loading required package: DALEX Welcome to DALEX (version: 2.5.3). Find examples and detailed introduction at: http://ema.drwhy.ai/ Additional features will be available after installation of: ggpubr. Use 'install_dependencies()' to get all suggested dependencies > > test_check("DALEXtra") Preparation of a new explainer is initiated -> model label : LM -> data : 9000 rows 6 cols -> target variable : 9000 values -> predict function : yhat.WrappedModel will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package mlr , ver. 2.19.3 , task regression ( <1b>[33m default <1b>[39m ) -> predicted values : numerical, min = 1792.597 , mean = 3506.836 , max = 6241.447 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) -> residuals : numerical, min = -257.2555 , mean = 4.687686 , max = 472.356 <1b>[32m A new explainer has been created! <1b>[39m Preparation of a new explainer is initiated -> model label : RF -> data : 9000 rows 6 cols -> target variable : 9000 values -> predict function : yhat.WrappedModel will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package mlr , ver. 2.19.3 , task regression ( <1b>[33m default <1b>[39m ) -> predicted values : numerical, min = 1790.562 , mean = 3505.283 , max = 6238.61 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) -> residuals : numerical, min = -547.1459 , mean = 6.240434 , max = 752.8022 <1b>[32m A new explainer has been created! <1b>[39m Preparation of a new explainer is initiated -> model label : GBM -> data : 9000 rows 6 cols -> target variable : 9000 values -> predict function : yhat.WrappedModel will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package mlr , ver. 2.19.3 , task regression ( <1b>[33m default <1b>[39m ) -> predicted values : numerical, min = 2126.843 , mean = 3499.809 , max = 6044.027 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) -> residuals : numerical, min = -523.843 , mean = 11.71414 , max = 779.604 <1b>[32m A new explainer has been created! <1b>[39m additional arguments ignored in warning() Preparation of a new explainer is initiated -> model label : ranger ( <1b>[33m default <1b>[39m ) -> data : 2207 rows 7 cols -> target variable : 2207 values -> predict function : yhat.ranger will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package ranger , ver. 0.17.0 , task classification ( <1b>[33m default <1b>[39m ) -> predicted values : numerical, min = 0.01277638 , mean = 0.322563 , max = 0.988891 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) -> residuals : numerical, min = -0.7917716 , mean = -0.0004062287 , max = 0.8910643 <1b>[32m A new explainer has been created! <1b>[39m additional arguments ignored in warning() Saving _problems/test_xgboost_explain-13.R Saving _problems/test_xgboost_explain-31.R Saving _problems/test_xgboost_explain-50.R [ FAIL 3 | WARN 15 | SKIP 11 | PASS 44 ] ══ Skipped tests (11) ══════════════════════════════════════════════════════════ • Conda test env needed for tests (6): 'test_create_env.R:6:3', 'test_create_env.R:27:3', 'test_create_env.R:40:3', 'test_keras_explain.R:6:2', 'test_scikitlearn_explain.R:6:3', 'tests_prints.R:8:3' • JAVA entry needed for tests (4): 'test_h2o_explain.R:8:3', 'test_h2o_explain.R:33:3', 'test_h2o_explain.R:56:3', 'test_h2o_explain.R:90:3' • Test with windows (1): 'test_champion_challenger.R:5:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_xgboost_explain.R:11:3'): creating explainer classif ─────────── Error in `strsplit(model$params$objective, ":", fixed = TRUE)`: non-character argument Backtrace: ▆ 1. └─DALEXtra::explain_xgboost(...) at test_xgboost_explain.R:11:3 2. └─DALEX::explain(...) 3. ├─DALEX::model_info(model, is_multiclass = task_subtype) 4. └─DALEXtra:::model_info.xgb.Booster(model, is_multiclass = task_subtype) 5. └─base::strsplit(model$params$objective, ":", fixed = TRUE) ── Error ('test_xgboost_explain.R:29:3'): creating explainer regr ────────────── Error in `strsplit(model$params$objective, ":", fixed = TRUE)`: non-character argument Backtrace: ▆ 1. └─DALEXtra::explain_xgboost(...) at test_xgboost_explain.R:29:3 2. └─DALEX::explain(...) 3. ├─DALEX::model_info(model, is_multiclass = task_subtype) 4. └─DALEXtra:::model_info.xgb.Booster(model, is_multiclass = task_subtype) 5. └─base::strsplit(model$params$objective, ":", fixed = TRUE) ── Error ('test_xgboost_explain.R:48:3'): creating explainer multi ───────────── Error in `strsplit(model$params$objective, ":", fixed = TRUE)`: non-character argument Backtrace: ▆ 1. └─DALEXtra::explain_xgboost(...) at test_xgboost_explain.R:48:3 2. └─DALEX::explain(...) 3. ├─DALEX::model_info(model, is_multiclass = task_subtype) 4. └─DALEXtra:::model_info.xgb.Booster(model, is_multiclass = task_subtype) 5. └─base::strsplit(model$params$objective, ":", fixed = TRUE) [ FAIL 3 | WARN 15 | SKIP 11 | PASS 44 ] Error: ! Test failures. Execution halted Flavor: r-release-linux-x86_64

Version: 2.3.0
Check: tests
Result: ERROR Running 'testthat.R' [343s] Running the tests in 'tests/testthat.R' failed. Complete output: > library(testthat) > library(DALEXtra) Loading required package: DALEX Welcome to DALEX (version: 2.5.3). Find examples and detailed introduction at: http://ema.drwhy.ai/ Additional features will be available after installation of: ggpubr. Use 'install_dependencies()' to get all suggested dependencies > > test_check("DALEXtra") | | | 0% | |============ | 17% | |======================= | 33% | |=================================== | 50% | |=============================================== | 67% | |========================================================== | 83% | |======================================================================| 100%Preparation of a new explainer is initiated -> model label : LM -> data : 9000 rows 6 cols -> target variable : 9000 values -> predict function : yhat.WrappedModel will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package mlr , ver. 2.19.3 , task regression ( <1b>[33m default <1b>[39m ) -> predicted values : numerical, min = 1792.597 , mean = 3506.836 , max = 6241.447 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) -> residuals : numerical, min = -257.2555 , mean = 4.687686 , max = 472.356 <1b>[32m A new explainer has been created! <1b>[39m Preparation of a new explainer is initiated -> model label : RF -> data : 9000 rows 6 cols -> target variable : 9000 values -> predict function : yhat.WrappedModel will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package mlr , ver. 2.19.3 , task regression ( <1b>[33m default <1b>[39m ) -> predicted values : numerical, min = 1820.714 , mean = 3504.708 , max = 6266.409 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) -> residuals : numerical, min = -539.4812 , mean = 6.815853 , max = 743.5662 <1b>[32m A new explainer has been created! <1b>[39m Preparation of a new explainer is initiated -> model label : GBM -> data : 9000 rows 6 cols -> target variable : 9000 values -> predict function : yhat.WrappedModel will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package mlr , ver. 2.19.3 , task regression ( <1b>[33m default <1b>[39m ) -> predicted values : numerical, min = 2132.346 , mean = 3502.995 , max = 6065.563 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) -> residuals : numerical, min = -529.5066 , mean = 8.528443 , max = 742.9201 <1b>[32m A new explainer has been created! <1b>[39m additional arguments ignored in warning() Preparation of a new explainer is initiated -> model label : ranger ( <1b>[33m default <1b>[39m ) -> data : 2207 rows 7 cols -> target variable : 2207 values -> predict function : yhat.ranger will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package ranger , ver. 0.17.0 , task classification ( <1b>[33m default <1b>[39m ) -> predicted values : numerical, min = 0.01698923 , mean = 0.3224285 , max = 0.9890195 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) -> residuals : numerical, min = -0.7838912 , mean = -0.0002717391 , max = 0.8831854 <1b>[32m A new explainer has been created! <1b>[39m additional arguments ignored in warning() Saving _problems/test_xgboost_explain-13.R Saving _problems/test_xgboost_explain-31.R Saving _problems/test_xgboost_explain-50.R [ FAIL 3 | WARN 13 | SKIP 10 | PASS 45 ] ══ Skipped tests (10) ══════════════════════════════════════════════════════════ • Conda test env needed for tests (6): 'test_create_env.R:6:3', 'test_create_env.R:27:3', 'test_create_env.R:40:3', 'test_keras_explain.R:6:2', 'test_scikitlearn_explain.R:6:3', 'tests_prints.R:8:3' • JAVA entry needed for tests (4): 'test_h2o_explain.R:8:3', 'test_h2o_explain.R:33:3', 'test_h2o_explain.R:56:3', 'test_h2o_explain.R:90:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_xgboost_explain.R:11:3'): creating explainer classif ─────────── Error in `strsplit(model$params$objective, ":", fixed = TRUE)`: non-character argument Backtrace: ▆ 1. └─DALEXtra::explain_xgboost(...) at test_xgboost_explain.R:11:3 2. └─DALEX::explain(...) 3. ├─DALEX::model_info(model, is_multiclass = task_subtype) 4. └─DALEXtra:::model_info.xgb.Booster(model, is_multiclass = task_subtype) 5. └─base::strsplit(model$params$objective, ":", fixed = TRUE) ── Error ('test_xgboost_explain.R:29:3'): creating explainer regr ────────────── Error in `strsplit(model$params$objective, ":", fixed = TRUE)`: non-character argument Backtrace: ▆ 1. └─DALEXtra::explain_xgboost(...) at test_xgboost_explain.R:29:3 2. └─DALEX::explain(...) 3. ├─DALEX::model_info(model, is_multiclass = task_subtype) 4. └─DALEXtra:::model_info.xgb.Booster(model, is_multiclass = task_subtype) 5. └─base::strsplit(model$params$objective, ":", fixed = TRUE) ── Error ('test_xgboost_explain.R:48:3'): creating explainer multi ───────────── Error in `strsplit(model$params$objective, ":", fixed = TRUE)`: non-character argument Backtrace: ▆ 1. └─DALEXtra::explain_xgboost(...) at test_xgboost_explain.R:48:3 2. └─DALEX::explain(...) 3. ├─DALEX::model_info(model, is_multiclass = task_subtype) 4. └─DALEXtra:::model_info.xgb.Booster(model, is_multiclass = task_subtype) 5. └─base::strsplit(model$params$objective, ":", fixed = TRUE) [ FAIL 3 | WARN 13 | SKIP 10 | PASS 45 ] Error: ! Test failures. Execution halted Flavor: r-release-windows-x86_64

Version: 2.3.0
Check: tests
Result: ERROR Running 'testthat.R' [482s] Running the tests in 'tests/testthat.R' failed. Complete output: > library(testthat) > library(DALEXtra) Loading required package: DALEX Welcome to DALEX (version: 2.5.3). Find examples and detailed introduction at: http://ema.drwhy.ai/ Additional features will be available after installation of: ggpubr. Use 'install_dependencies()' to get all suggested dependencies > > test_check("DALEXtra") | | | 0% | |============ | 17% | |======================= | 33% | |=================================== | 50% | |=============================================== | 67% | |========================================================== | 83% | |======================================================================| 100%Preparation of a new explainer is initiated -> model label : LM -> data : 9000 rows 6 cols -> target variable : 9000 values -> predict function : yhat.WrappedModel will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package mlr , ver. 2.19.3 , task regression ( <1b>[33m default <1b>[39m ) -> predicted values : numerical, min = 1792.597 , mean = 3506.836 , max = 6241.447 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) -> residuals : numerical, min = -257.2555 , mean = 4.687686 , max = 472.356 <1b>[32m A new explainer has been created! <1b>[39m Preparation of a new explainer is initiated -> model label : RF -> data : 9000 rows 6 cols -> target variable : 9000 values -> predict function : yhat.WrappedModel will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package mlr , ver. 2.19.3 , task regression ( <1b>[33m default <1b>[39m ) -> predicted values : numerical, min = 1791.933 , mean = 3504.43 , max = 6296.856 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) -> residuals : numerical, min = -559.5276 , mean = 7.093104 , max = 739.4901 <1b>[32m A new explainer has been created! <1b>[39m Preparation of a new explainer is initiated -> model label : GBM -> data : 9000 rows 6 cols -> target variable : 9000 values -> predict function : yhat.WrappedModel will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package mlr , ver. 2.19.3 , task regression ( <1b>[33m default <1b>[39m ) -> predicted values : numerical, min = 2114.558 , mean = 3503.184 , max = 6038.998 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) -> residuals : numerical, min = -511.5577 , mean = 8.339434 , max = 742.1705 <1b>[32m A new explainer has been created! <1b>[39m additional arguments ignored in warning() Preparation of a new explainer is initiated -> model label : ranger ( <1b>[33m default <1b>[39m ) -> data : 2207 rows 7 cols -> target variable : 2207 values -> predict function : yhat.ranger will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package ranger , ver. 0.17.0 , task classification ( <1b>[33m default <1b>[39m ) -> predicted values : numerical, min = 0.009981018 , mean = 0.3219388 , max = 0.9903112 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) -> residuals : numerical, min = -0.7895219 , mean = 0.0002179469 , max = 0.8880741 <1b>[32m A new explainer has been created! <1b>[39m additional arguments ignored in warning() Saving _problems/test_xgboost_explain-13.R Saving _problems/test_xgboost_explain-31.R Saving _problems/test_xgboost_explain-50.R [ FAIL 3 | WARN 13 | SKIP 10 | PASS 45 ] ══ Skipped tests (10) ══════════════════════════════════════════════════════════ • Conda test env needed for tests (6): 'test_create_env.R:6:3', 'test_create_env.R:27:3', 'test_create_env.R:40:3', 'test_keras_explain.R:6:2', 'test_scikitlearn_explain.R:6:3', 'tests_prints.R:8:3' • JAVA entry needed for tests (4): 'test_h2o_explain.R:8:3', 'test_h2o_explain.R:33:3', 'test_h2o_explain.R:56:3', 'test_h2o_explain.R:90:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_xgboost_explain.R:11:3'): creating explainer classif ─────────── Error in `strsplit(model$params$objective, ":", fixed = TRUE)`: non-character argument Backtrace: ▆ 1. └─DALEXtra::explain_xgboost(...) at test_xgboost_explain.R:11:3 2. └─DALEX::explain(...) 3. ├─DALEX::model_info(model, is_multiclass = task_subtype) 4. └─DALEXtra:::model_info.xgb.Booster(model, is_multiclass = task_subtype) 5. └─base::strsplit(model$params$objective, ":", fixed = TRUE) ── Error ('test_xgboost_explain.R:29:3'): creating explainer regr ────────────── Error in `strsplit(model$params$objective, ":", fixed = TRUE)`: non-character argument Backtrace: ▆ 1. └─DALEXtra::explain_xgboost(...) at test_xgboost_explain.R:29:3 2. └─DALEX::explain(...) 3. ├─DALEX::model_info(model, is_multiclass = task_subtype) 4. └─DALEXtra:::model_info.xgb.Booster(model, is_multiclass = task_subtype) 5. └─base::strsplit(model$params$objective, ":", fixed = TRUE) ── Error ('test_xgboost_explain.R:48:3'): creating explainer multi ───────────── Error in `strsplit(model$params$objective, ":", fixed = TRUE)`: non-character argument Backtrace: ▆ 1. └─DALEXtra::explain_xgboost(...) at test_xgboost_explain.R:48:3 2. └─DALEX::explain(...) 3. ├─DALEX::model_info(model, is_multiclass = task_subtype) 4. └─DALEXtra:::model_info.xgb.Booster(model, is_multiclass = task_subtype) 5. └─base::strsplit(model$params$objective, ":", fixed = TRUE) [ FAIL 3 | WARN 13 | SKIP 10 | PASS 45 ] Error: ! Test failures. Execution halted Flavor: r-oldrel-windows-x86_64

Package EIX

Current CRAN status: ERROR: 9, OK: 4

Version: 1.2.0
Check: whether package can be installed
Result: ERROR Installation failed. Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-windows-x86_64, r-oldrel-windows-x86_64

Package shapper

Current CRAN status: NOTE: 5, OK: 8

Version: 0.1.3
Check: CRAN incoming feasibility
Result: NOTE Maintainer: ‘Szymon Maksymiuk <sz.maksymiuk@gmail.com>’ The Description field contains Lundberg, S., et al., (2016) <arXiv:1705.07874> The SHAP method is used Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>. Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Version: 0.1.3
Check: LazyData
Result: NOTE 'LazyData' is specified without a 'data' directory Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64

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