Last updated on 2024-09-18 13:51:15 CEST.
Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
---|---|---|---|---|---|---|
r-devel-linux-x86_64-debian-clang | 0.0.4 | 11.02 | 161.71 | 172.73 | OK | |
r-devel-linux-x86_64-debian-gcc | 0.0.4 | 6.88 | 129.93 | 136.81 | OK | |
r-devel-linux-x86_64-fedora-clang | 0.0.4 | 309.31 | OK | |||
r-devel-linux-x86_64-fedora-gcc | 0.0.4 | 385.86 | OK | |||
r-devel-windows-x86_64 | 0.0.4 | 12.00 | 303.00 | 315.00 | OK | |
r-patched-linux-x86_64 | 0.0.4 | 12.46 | 178.03 | 190.49 | OK | |
r-release-linux-x86_64 | 0.0.4 | 10.56 | 188.77 | 199.33 | OK | |
r-release-macos-arm64 | 0.0.4 | 208.00 | OK | |||
r-release-macos-x86_64 | 0.0.4 | 361.00 | OK | |||
r-release-windows-x86_64 | 0.0.4 | 12.00 | 305.00 | 317.00 | OK | |
r-oldrel-macos-arm64 | 0.0.4 | 337.00 | ERROR | |||
r-oldrel-macos-x86_64 | 0.0.4 | 828.00 | ERROR | |||
r-oldrel-windows-x86_64 | 0.0.4 | 16.00 | 400.00 | 416.00 | OK |
Version: 0.0.4
Check: running R code from vignettes
Result: ERROR
Errors in running code in vignettes:
when running code in ‘mlexperiments_rpart_regression.qmd’
...
> preds_rpart <- mlexperiments::predictions(object = validator,
+ newdata = test_x)
> preds_lm <- mlexperiments::predictions(object = validator_lm,
+ newdata = test_x)
When sourcing ‘mlexperiments_rpart_regression.R’:
Error: variable 'chas' was fitted with type "numeric" but type "factor" was supplied
Execution halted
‘mlexperiments_knn_binary.qmd’ using ‘UTF-8’... [3s/8s] OK
‘mlexperiments_knn_multiclass.qmd’ using ‘UTF-8’... [31s/36s] OK
‘mlexperiments_rpart_binary.qmd’ using ‘UTF-8’... [3s/9s] OK
‘mlexperiments_rpart_multiclass.qmd’ using ‘UTF-8’... [64s/71s] OK
‘mlexperiments_rpart_regression.qmd’ using ‘UTF-8’... failed
‘mlexperiments_starter.qmd’ using ‘UTF-8’... [69s/71s] OK
Flavor: r-oldrel-macos-arm64
Version: 0.0.4
Check: running R code from vignettes
Result: ERROR
Errors in running code in vignettes:
when running code in ‘mlexperiments_rpart_multiclass.qmd’
...
> tuner$set_data(x = train_x, y = train_y)
> tuner_results_bayesian <- tuner$execute(k = 3)
Registering parallel backend using 4 cores.
When sourcing ‘mlexperiments_rpart_multiclass.R’:
Error: Cluster setup failed. 4 of 4 workers failed to connect.
Execution halted
when running code in ‘mlexperiments_rpart_regression.qmd’
...
> preds_rpart <- mlexperiments::predictions(object = validator,
+ newdata = test_x)
> preds_lm <- mlexperiments::predictions(object = validator_lm,
+ newdata = test_x)
When sourcing ‘mlexperiments_rpart_regression.R’:
Error: variable 'chas' was fitted with type "numeric" but type "factor" was supplied
Execution halted
‘mlexperiments_knn_binary.qmd’ using ‘UTF-8’... [4s/14s] OK
‘mlexperiments_knn_multiclass.qmd’ using ‘UTF-8’... [37s/82s] OK
‘mlexperiments_rpart_binary.qmd’ using ‘UTF-8’... [5s/18s] OK
‘mlexperiments_rpart_multiclass.qmd’ using ‘UTF-8’... failed
‘mlexperiments_rpart_regression.qmd’ using ‘UTF-8’... failed
‘mlexperiments_starter.qmd’ using ‘UTF-8’... [64s/100s] OK
Flavor: r-oldrel-macos-x86_64