Last updated on 2025-12-17 02:52:21 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 2.3.0 | 6.33 | 315.79 | 322.12 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 2.3.0 | 4.32 | 222.26 | 226.58 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 2.3.0 | 11.00 | 505.62 | 516.62 | ERROR | |
| r-devel-linux-x86_64-fedora-gcc | 2.3.0 | 11.00 | 518.07 | 529.07 | ERROR | |
| r-devel-windows-x86_64 | 2.3.0 | 13.00 | 439.00 | 452.00 | ERROR | |
| r-patched-linux-x86_64 | 2.3.0 | 7.57 | 307.43 | 315.00 | ERROR | |
| r-release-linux-x86_64 | 2.3.0 | 6.61 | 302.36 | 308.97 | ERROR | |
| r-release-macos-arm64 | 2.3.0 | OK | ||||
| r-release-macos-x86_64 | 2.3.0 | 5.00 | 264.00 | 269.00 | OK | |
| r-release-windows-x86_64 | 2.3.0 | 14.00 | 454.00 | 468.00 | OK | |
| r-oldrel-macos-arm64 | 2.3.0 | OK | ||||
| r-oldrel-macos-x86_64 | 2.3.0 | 5.00 | 198.00 | 203.00 | OK | |
| r-oldrel-windows-x86_64 | 2.3.0 | 16.00 | 596.00 | 612.00 | ERROR |
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’ [250s/322s]
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 = 1794.983 , mean = 3505.763 , max = 6265.565
-> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m )
-> residuals : numerical, min = -548.4238 , mean = 5.760184 , max = 742.2337
<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 = 2119.715 , mean = 3505.501 , max = 6056.205
-> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m )
-> residuals : numerical, min = -557.3934 , mean = 6.022927 , max = 767.5811
<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 = 0.01381976 , mean = 0.3221985 , max = 0.9895024
-> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m )
-> residuals : numerical, min = -0.7835473 , mean = -4.168775e-05 , max = 0.8839181
<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’ [175s/237s]
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 = 1786.407 , mean = 3504.065 , max = 6256.921
-> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m )
-> residuals : numerical, min = -537.4623 , mean = 7.458475 , max = 776.1644
<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 = 2119.511 , mean = 3502.427 , max = 6047.031
-> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m )
-> residuals : numerical, min = -538.9803 , mean = 9.096512 , max = 730.2078
<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 = 0.01319518 , mean = 0.3222336 , max = 0.9940885
-> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m )
-> residuals : numerical, min = -0.7765311 , mean = -7.685936e-05 , max = 0.8844483
<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-oldrel-windows-x86_64
Version: 2.3.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [401s/538s]
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 = 1789.726 , mean = 3505.259 , max = 6251.505
-> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m )
-> residuals : numerical, min = -525.3575 , mean = 6.264563 , max = 749.7701
<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 = 2121.216 , mean = 3505.332 , max = 6057.809
-> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m )
-> residuals : numerical, min = -571.7653 , mean = 6.191413 , max = 728.6858
<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 = 0.01344248 , mean = 0.3225328 , max = 0.9875525
-> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m )
-> residuals : numerical, min = -0.7958597 , mean = -0.0003760208 , max = 0.8866114
<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’ [7m/19m]
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 = 1799.135 , mean = 3505.174 , max = 6268.241
-> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m )
-> residuals : numerical, min = -573.2395 , mean = 6.349096 , max = 738.856
<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 = 2124.419 , mean = 3503.289 , max = 6070.329
-> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m )
-> residuals : numerical, min = -521.4189 , mean = 8.234648 , max = 744.8243
<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 = 0.01430255 , mean = 0.321738 , max = 0.9902174
-> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m )
-> residuals : numerical, min = -0.7881155 , mean = 0.0004187312 , max = 0.8867751
<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' [350s]
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 = 1799.99 , mean = 3504.02 , max = 6286.133
-> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m )
-> residuals : numerical, min = -538.7919 , mean = 7.503646 , max = 734.0146
<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 = 2123.637 , mean = 3504.228 , max = 6040.334
-> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m )
-> residuals : numerical, min = -558.1479 , mean = 7.295357 , max = 763.4581
<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 = 0.01519209 , mean = 0.322419 , max = 0.9935204
-> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m )
-> residuals : numerical, min = -0.8059524 , mean = -0.0002621836 , max = 0.8873025
<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’ [246s/301s]
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 = 1797.55 , mean = 3505.375 , max = 6261.124
-> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m )
-> residuals : numerical, min = -543.0135 , mean = 6.148312 , max = 750.7782
<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 = 2104.908 , mean = 3503.359 , max = 6065.745
-> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m )
-> residuals : numerical, min = -501.9084 , mean = 8.164956 , max = 698.7509
<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 = 0.01187002 , mean = 0.3218365 , max = 0.9895234
-> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m )
-> residuals : numerical, min = -0.7846255 , mean = 0.0003203188 , max = 0.8827397
<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' [471s]
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 = 1787.538 , mean = 3505.649 , max = 6267.528
-> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m )
-> residuals : numerical, min = -537.8681 , mean = 5.87461 , max = 733.9292
<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 = 2123.327 , mean = 3502.314 , max = 6033.243
-> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m )
-> residuals : numerical, min = -540.7241 , mean = 9.209324 , max = 832.1096
<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 = 0.01530151 , mean = 0.322199 , max = 0.98788
-> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m )
-> residuals : numerical, min = -0.7838821 , mean = -4.222004e-05 , max = 0.8779031
<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