Last updated on 2026-07-12 17:52:03 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.5 | 5.61 | 92.95 | 98.56 | OK | |
| r-devel-linux-x86_64-debian-gcc | 0.5 | 4.42 | 70.20 | 74.62 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.5 | 9.00 | 144.98 | 153.98 | OK | |
| r-devel-linux-x86_64-fedora-gcc | 0.5 | 9.00 | 144.03 | 153.03 | OK | |
| r-devel-windows-x86_64 | 0.5 | 10.00 | 103.00 | 113.00 | ERROR | |
| r-patched-linux-x86_64 | 0.5 | 5.31 | 85.94 | 91.25 | OK | |
| r-release-linux-x86_64 | 0.5 | 5.13 | 87.12 | 92.25 | OK | |
| r-release-macos-arm64 | 0.5 | 2.00 | 30.00 | 32.00 | OK | |
| r-release-macos-x86_64 | 0.5 | 5.00 | 134.00 | 139.00 | OK | |
| r-release-windows-x86_64 | 0.5 | 10.00 | 102.00 | 112.00 | OK | |
| r-oldrel-macos-arm64 | 0.5 | OK | ||||
| r-oldrel-macos-x86_64 | 0.5 | 3.00 | 82.00 | 85.00 | OK | |
| r-oldrel-windows-x86_64 | 0.5 | 12.00 | 131.00 | 143.00 | OK |
Version: 0.5
Check: tests
Result: ERROR
Running ‘testthat.R’ [6s/8s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(localModel)
> library(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
> library(randomForest)
randomForest 4.7-1.2
Type rfNews() to see new features/changes/bug fixes.
>
> test_check("localModel")
Preparation of a new explainer is initiated
-> model label : randomForest ( <1b>[33m default <1b>[39m )
-> data : 500 rows 6 cols
-> target variable : not specified! ( <1b>[31m WARNING <1b>[39m )
-> predict function : yhat.randomForest 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 randomForest , ver. 4.7.1.2 , task multiclass ( <1b>[33m default <1b>[39m )
-> model_info : Model info detected multiclass task but 'y' is a NULL . ( <1b>[31m WARNING <1b>[39m )
-> model_info : By deafult multiclass tasks supports only factor 'y' parameter.
-> model_info : Consider changing to a factor vector with true class names.
-> model_info : Otherwise I will not be able to calculate residuals or loss function.
-> predicted values : predict function returns multiple columns: 3 ( <1b>[33m default <1b>[39m )
-> residual function : difference between 1 and probability of true class ( <1b>[33m default <1b>[39m )
<1b>[32m A new explainer has been created! <1b>[39m
Preparation of a new explainer is initiated
-> model label : randomForest ( <1b>[33m default <1b>[39m )
-> data : 500 rows 6 cols
-> target variable : not specified! ( <1b>[31m WARNING <1b>[39m )
-> predict function : yhat.randomForest 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 randomForest , ver. 4.7.1.2 , task regression ( <1b>[33m default <1b>[39m )
-> model_info : Model info detected regression task but 'y' is a NULL . ( <1b>[31m WARNING <1b>[39m )
-> model_info : By deafult regressions tasks supports only numercical 'y' parameter.
-> model_info : Consider changing to numerical vector.
-> model_info : Otherwise I will not be able to calculate residuals or loss function.
-> predicted values : numerical, min = 2082.965 , mean = 3506.201 , max = 6076.934
-> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m )
<1b>[32m A new explainer has been created! <1b>[39m
Preparation of a new explainer is initiated
-> model label : randomForest ( <1b>[33m default <1b>[39m )
-> data : 500 rows 6 cols
-> target variable : not specified! ( <1b>[31m WARNING <1b>[39m )
-> predict function : yhat.randomForest 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 randomForest , ver. 4.7.1.2 , task classification ( <1b>[33m default <1b>[39m )
-> model_info : Model info detected classification task but 'y' is a NULL . ( <1b>[31m WARNING <1b>[39m )
-> model_info : By deafult classification tasks supports only numercical 'y' parameter.
-> model_info : Consider changing to numerical vector with 0 and 1 values.
-> model_info : Otherwise I will not be able to calculate residuals or loss function.
-> predicted values : numerical, min = 0 , mean = 0.4576 , max = 1
-> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m )
<1b>[32m A new explainer has been created! <1b>[39m
Saving _problems/test_individual_surrogate_model-32.R
Preparation of a new explainer is initiated
-> model label : lm ( <1b>[33m default <1b>[39m )
-> data : 500 rows 6 cols
-> target variable : not specified! ( <1b>[31m WARNING <1b>[39m )
-> predict function : yhat.glm 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 stats , ver. 4.7.0 , task classification ( <1b>[33m default <1b>[39m )
-> model_info : Model info detected classification task but 'y' is a NULL . ( <1b>[31m WARNING <1b>[39m )
-> model_info : By deafult classification tasks supports only numercical 'y' parameter.
-> model_info : Consider changing to numerical vector with 0 and 1 values.
-> model_info : Otherwise I will not be able to calculate residuals or loss function.
-> predicted values : numerical, min = 0.009202999 , mean = 0.464 , max = 0.9979422
-> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m )
<1b>[32m A new explainer has been created! <1b>[39m
Saving _problems/test_individual_surrogate_model-65.R
[ FAIL 2 | WARN 25 | SKIP 0 | PASS 18 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test_individual_surrogate_model.R:27:3'): individual_surrogate_model works with random forest and two classes ──
Expected `... <- NULL` to run silently.
Actual noise: warnings.
── Failure ('test_individual_surrogate_model.R:60:3'): individual_surrogate_model works with glm and two classes ──
Expected `... <- NULL` to run silently.
Actual noise: warnings.
[ FAIL 2 | WARN 25 | SKIP 0 | PASS 18 ]
Error:
! Test failures.
Warning messages:
1: In structure(lapply(object$data, class), .Names = vnames) :
Replacing special names '.Names' is deprecated; use 'names' instead.
2: In structure(lapply(newdata, class), .Names = ndnames) :
Replacing special names '.Names' is deprecated; use 'names' instead.
3: In structure(lapply(object$data, class), .Names = vnames) :
Replacing special names '.Names' is deprecated; use 'names' instead.
4: In structure(lapply(newdata, class), .Names = ndnames) :
Replacing special names '.Names' is deprecated; use 'names' instead.
5: In structure(lapply(object$data, class), .Names = vnames) :
Replacing special names '.Names' is deprecated; use 'names' instead.
6: In structure(lapply(newdata, class), .Names = ndnames) :
Replacing special names '.Names' is deprecated; use 'names' instead.
7: In structure(lapply(object$data, class), .Names = vnames) :
Replacing special names '.Names' is deprecated; use 'names' instead.
8: In structure(lapply(newdata, class), .Names = ndnames) :
Replacing special names '.Names' is deprecated; use 'names' instead.
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.5
Check: tests
Result: ERROR
Running 'testthat.R' [8s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> library(testthat)
> library(localModel)
> library(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
> library(randomForest)
randomForest 4.7-1.2
Type rfNews() to see new features/changes/bug fixes.
>
> test_check("localModel")
Preparation of a new explainer is initiated
-> model label : randomForest ( <1b>[33m default <1b>[39m )
-> data : 500 rows 6 cols
-> target variable : not specified! ( <1b>[31m WARNING <1b>[39m )
-> predict function : yhat.randomForest 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 randomForest , ver. 4.7.1.2 , task multiclass ( <1b>[33m default <1b>[39m )
-> model_info : Model info detected multiclass task but 'y' is a NULL . ( <1b>[31m WARNING <1b>[39m )
-> model_info : By deafult multiclass tasks supports only factor 'y' parameter.
-> model_info : Consider changing to a factor vector with true class names.
-> model_info : Otherwise I will not be able to calculate residuals or loss function.
-> predicted values : predict function returns multiple columns: 3 ( <1b>[33m default <1b>[39m )
-> residual function : difference between 1 and probability of true class ( <1b>[33m default <1b>[39m )
<1b>[32m A new explainer has been created! <1b>[39m
Preparation of a new explainer is initiated
-> model label : randomForest ( <1b>[33m default <1b>[39m )
-> data : 500 rows 6 cols
-> target variable : not specified! ( <1b>[31m WARNING <1b>[39m )
-> predict function : yhat.randomForest 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 randomForest , ver. 4.7.1.2 , task regression ( <1b>[33m default <1b>[39m )
-> model_info : Model info detected regression task but 'y' is a NULL . ( <1b>[31m WARNING <1b>[39m )
-> model_info : By deafult regressions tasks supports only numercical 'y' parameter.
-> model_info : Consider changing to numerical vector.
-> model_info : Otherwise I will not be able to calculate residuals or loss function.
-> predicted values : numerical, min = 1899.748 , mean = 3495.167 , max = 5801.44
-> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m )
<1b>[32m A new explainer has been created! <1b>[39m
Preparation of a new explainer is initiated
-> model label : randomForest ( <1b>[33m default <1b>[39m )
-> data : 500 rows 6 cols
-> target variable : not specified! ( <1b>[31m WARNING <1b>[39m )
-> predict function : yhat.randomForest 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 randomForest , ver. 4.7.1.2 , task classification ( <1b>[33m default <1b>[39m )
-> model_info : Model info detected classification task but 'y' is a NULL . ( <1b>[31m WARNING <1b>[39m )
-> model_info : By deafult classification tasks supports only numercical 'y' parameter.
-> model_info : Consider changing to numerical vector with 0 and 1 values.
-> model_info : Otherwise I will not be able to calculate residuals or loss function.
-> predicted values : numerical, min = 0 , mean = 0.4576 , max = 1
-> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m )
<1b>[32m A new explainer has been created! <1b>[39m
Saving _problems/test_individual_surrogate_model-32.R
Preparation of a new explainer is initiated
-> model label : lm ( <1b>[33m default <1b>[39m )
-> data : 500 rows 6 cols
-> target variable : not specified! ( <1b>[31m WARNING <1b>[39m )
-> predict function : yhat.glm 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 stats , ver. 4.7.0 , task classification ( <1b>[33m default <1b>[39m )
-> model_info : Model info detected classification task but 'y' is a NULL . ( <1b>[31m WARNING <1b>[39m )
-> model_info : By deafult classification tasks supports only numercical 'y' parameter.
-> model_info : Consider changing to numerical vector with 0 and 1 values.
-> model_info : Otherwise I will not be able to calculate residuals or loss function.
-> predicted values : numerical, min = 0.009202999 , mean = 0.464 , max = 0.9979422
-> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m )
<1b>[32m A new explainer has been created! <1b>[39m
Saving _problems/test_individual_surrogate_model-65.R
[ FAIL 2 | WARN 13 | SKIP 0 | PASS 18 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test_individual_surrogate_model.R:27:3'): individual_surrogate_model works with random forest and two classes ──
Expected `... <- NULL` to run silently.
Actual noise: warnings.
── Failure ('test_individual_surrogate_model.R:60:3'): individual_surrogate_model works with glm and two classes ──
Expected `... <- NULL` to run silently.
Actual noise: warnings.
[ FAIL 2 | WARN 13 | SKIP 0 | PASS 18 ]
Error:
! Test failures.
Warning messages:
1: In structure(lapply(object$data, class), .Names = vnames) :
Replacing special names '.Names' is deprecated; use 'names' instead.
2: In structure(lapply(newdata, class), .Names = ndnames) :
Replacing special names '.Names' is deprecated; use 'names' instead.
3: In structure(lapply(object$data, class), .Names = vnames) :
Replacing special names '.Names' is deprecated; use 'names' instead.
4: In structure(lapply(newdata, class), .Names = ndnames) :
Replacing special names '.Names' is deprecated; use 'names' instead.
5: In structure(lapply(object$data, class), .Names = vnames) :
Replacing special names '.Names' is deprecated; use 'names' instead.
6: In structure(lapply(newdata, class), .Names = ndnames) :
Replacing special names '.Names' is deprecated; use 'names' instead.
Execution halted
Flavor: r-devel-windows-x86_64