Last updated on 2021-07-01 01:49:18 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.1 | 6.39 | 178.80 | 185.19 | NOTE | |
| r-devel-linux-x86_64-debian-gcc | 1.1 | 5.01 | 142.95 | 147.96 | NOTE | |
| r-devel-linux-x86_64-fedora-clang | 1.1 | 212.59 | NOTE | |||
| r-devel-linux-x86_64-fedora-gcc | 1.1 | 203.23 | NOTE | |||
| r-devel-windows-x86_64 | 1.1 | 28.00 | 161.00 | 189.00 | NOTE | |
| r-devel-windows-x86_64-gcc10-UCRT | 1.1 | NOTE | ||||
| r-patched-linux-x86_64 | 1.1 | 5.62 | 169.29 | 174.91 | NOTE | |
| r-patched-solaris-x86 | 1.1 | 2038.30 | ERROR | |||
| r-release-linux-x86_64 | 1.1 | 4.83 | 168.73 | 173.56 | NOTE | |
| r-release-macos-arm64 | 1.1 | NOTE | ||||
| r-release-macos-x86_64 | 1.1 | NOTE | ||||
| r-release-windows-ix86+x86_64 | 1.1 | 19.00 | 149.00 | 168.00 | NOTE | |
| r-oldrel-macos-x86_64 | 1.1 | NOTE | ||||
| r-oldrel-windows-ix86+x86_64 | 1.1 | 19.00 | 124.00 | 143.00 | OK |
Version: 1.1
Check: LazyData
Result: NOTE
'LazyData' is specified without a 'data' directory
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-devel-windows-x86_64-gcc10-UCRT, r-patched-linux-x86_64, r-patched-solaris-x86, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-ix86+x86_64
Version: 1.1
Check: dependencies in R code
Result: NOTE
Namespaces in Imports field not imported from:
‘DALEX’ ‘DT’ ‘auditor’ ‘breakDown’ ‘drifter’ ‘svglite’
All declared Imports should be used.
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64-gcc10-UCRT, r-patched-solaris-x86, r-release-macos-arm64, r-release-macos-x86_64, r-oldrel-macos-x86_64
Version: 1.1
Check: tests
Result: ERROR
Running ‘testthat.R’ [32m/10m]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(DALEX)
Welcome to DALEX (version: 2.2.1).
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(devtools)
Loading required package: usethis
Attaching package: 'devtools'
The following object is masked from 'package:testthat':
test_file
> library(modelDown)
>
> test_check("modelDown")
Preparation of a new explainer is initiated
-> model label : ranger ( <1b>[33m default <1b>[39m )
-> data : 3000 rows 10 cols
-> target variable : 3000 values
-> predict function : function(model, data) { return(predict(model, data)$prediction[, 2]) }
-> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m )
-> model_info : package ranger , ver. 0.12.1 , task classification ( <1b>[33m default <1b>[39m )
-> predicted values : numerical, min = 0.0004625 , mean = 0.6680798 , max = 1
-> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m )
-> residuals : numerical, min = -0.6612839 , mean = -0.0014131 , max = 0.7069235
<1b>[32m A new explainer has been created! <1b>[39m
Preparation of a new explainer is initiated
-> model label : lm ( <1b>[33m default <1b>[39m )
-> data : 3000 rows 10 cols
-> target variable : 3000 values
-> 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. 4.1.0 , task classification ( <1b>[33m default <1b>[39m )
-> predicted values : numerical, min = 0.001706436 , mean = 0.6666667 , max = 1
-> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m )
-> residuals : numerical, min = -0.9989112 , mean = 1.673979e-09 , max = 0.9848484
<1b>[32m A new explainer has been created! <1b>[39m
Preparation of a new explainer is initiated
-> model label : lm ( <1b>[33m default <1b>[39m )
-> data : 4000 rows 10 cols
-> target variable : 4000 values
-> 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. 4.1.0 , task classification ( <1b>[33m default <1b>[39m )
-> predicted values : numerical, min = 0.001281044 , mean = 0.5 , max = 1
-> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m )
-> residuals : numerical, min = -0.9970616 , mean = 1.253319e-09 , max = 0.9891096
<1b>[32m A new explainer has been created! <1b>[39m
[1] "Generating auditor..."
[1] "Generating drifter..."
Preparation of a new explainer is initiated
-> model label : model_old
-> data : 4000 rows 10 cols
-> target variable : not specified! ( <1b>[31m WARNING <1b>[39m )
-> predict function : predict_function
-> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m )
-> model_info : package stats , ver. 4.1.0 , 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 = 0.001706436 , mean = 0.5897454 , max = 1
-> 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 : model_new
-> data : 4000 rows 10 cols
-> target variable : not specified! ( <1b>[31m WARNING <1b>[39m )
-> predict function : predict_function
-> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m )
-> model_info : package stats , ver. 4.1.0 , 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 = 0.001706436 , mean = 0.5897454 , max = 1
-> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m )
<1b>[32m A new explainer has been created! <1b>[39m
[1] "Generating model_performance..."
[1] "Generating variable_importance..."
[1] "Generating variable_response..."
Flavor: r-patched-solaris-x86
Version: 1.1
Check: for detritus in the temp directory
Result: NOTE
Found the following files/directories:
‘Rtmp_Ra4YE’
Flavor: r-patched-solaris-x86