Last updated on 2026-09-12 00:50:13 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.6.0 | 21.55 | 234.25 | 255.80 | NOTE | |
| r-devel-linux-x86_64-debian-gcc | 1.6.0 | 14.10 | 157.18 | 171.28 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 1.6.0 | 15.00 | 146.74 | 161.74 | ERROR | |
| r-devel-linux-x86_64-fedora-gcc | 1.6.0 | 14.00 | 155.40 | 169.40 | ERROR | |
| r-devel-windows-x86_64 | 1.6.0 | 26.00 | 292.00 | 318.00 | NOTE | |
| r-patched-linux-x86_64 | 1.6.0 | 27.49 | 225.55 | 253.04 | OK | |
| r-release-linux-x86_64 | 1.6.0 | 20.57 | 227.89 | 248.46 | OK | |
| r-release-macos-arm64 | 1.6.0 | 5.00 | 66.00 | 71.00 | OK | |
| r-release-macos-x86_64 | 1.6.0 | 15.00 | 254.00 | 269.00 | OK | |
| r-release-windows-x86_64 | 1.6.0 | 24.00 | 329.00 | 353.00 | OK | |
| r-oldrel-macos-arm64 | 1.6.0 | OK | ||||
| r-oldrel-macos-x86_64 | 1.6.0 | 15.00 | 218.00 | 233.00 | OK | |
| r-oldrel-windows-x86_64 | 1.6.0 | 35.00 | 353.00 | 388.00 | OK |
Version: 1.6.0
Check: R code for possible problems
Result: NOTE
Found calls to structure() using deprecated special names:
parsnip/tests/testthat/test-svm_linear.R (.Label: 2)
parsnip/tests/testthat/test-svm_rbf.R (.Label: 1)
'.Label' should be changed to 'levels'.
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
Version: 1.6.0
Check: Rd contents
Result: NOTE
Rd files without \usage:
‘dot-extract_surv_status.Rd’ ‘dot-extract_surv_time.Rd’
\arguments should not be documented without \usage.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Version: 1.6.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [57s/66s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(parsnip)
>
> test_check("parsnip")
Attaching package: 'modeldata'
The following object is masked from 'package:datasets':
penguins
To use legacy Keras via py_require(), call py_require_legacy_keras() at the start of the R session.
Hint: To use tensorflow with `py_require()`, call `py_require("tensorflow")` at the start of the R session
Attaching package: 'sparklyr'
The following object is masked from 'package:stats':
filter
Saving _problems/test-svm_linear-108.R
Saving _problems/test-svm_linear-127.R
[ FAIL 2 | WARN 3 | SKIP 275 | PASS 810 ]
══ Skipped tests (275) ═════════════════════════════════════════════════════════
• On CRAN (253): 'test-adds.R:7:1', 'test-args_and_modes.R:1:1',
'test-args_and_modes.R:31:1', 'test-args_and_modes.R:41:1',
'test-args_and_modes.R:49:1', 'test-args_and_modes.R:119:1',
'test-arguments.R:1:1', 'test-augment.R:1:1', 'test-augment.R:140:1',
'test-bart-tunable.R:1:1', 'test-boost_tree-tunable.R:1:1',
'test-boost_tree-tunable.R:9:1', 'test-boost_tree-tunable.R:17:1',
'test-boost_tree-tunable.R:25:1', 'test-boost_tree-tunable.R:33:1',
'test-boost_tree.R:7:1', 'test-boost_tree.R:15:1', 'test-boost_tree.R:43:3',
'test-boost_tree.R:55:3', 'test-boost_tree_C5.0.R:14:1',
'test-boost_tree_C5.0.R:116:1', 'test-boost_tree_C5.0.R:162:1',
'test-boost_tree_xgboost.R:33:3', 'test-boost_tree_xgboost.R:112:3',
'test-boost_tree_xgboost.R:182:3', 'test-boost_tree_xgboost.R:208:3',
'test-boost_tree_xgboost.R:244:3', 'test-boost_tree_xgboost.R:279:3',
'test-boost_tree_xgboost.R:342:3', 'test-boost_tree_xgboost.R:368:3',
'test-boost_tree_xgboost.R:422:3', 'test-boost_tree_xgboost.R:485:3',
'test-boost_tree_xgboost.R:574:3', 'test-boost_tree_xgboost.R:646:3',
'test-boost_tree_xgboost.R:688:3', 'test-boost_tree_xgboost.R:790:3',
'test-boost_tree_xgboost.R:848:3', 'test-boost_tree_xgboost.R:946:3',
'test-case-weights.R:105:1', 'test-condense_control.R:1:1',
'test-convert_data.R:280:1', 'test-convert_data.R:348:1',
'test-convert_data.R:379:1', 'test-convert_data.R:660:1',
'test-convert_data.R:677:1', 'test-decision_tree-tunable.R:1:1',
'test-decision_tree-tunable.R:9:1', 'test-decision_tree-tunable.R:17:1',
'test-decision_tree-tunable.R:25:1', 'test-decision_tree.R:7:1',
'test-decision_tree.R:15:1', 'test-decision_tree.R:32:1',
'test-descriptors.R:202:1', 'test-descriptors.R:225:3', 'test-engines.R:1:1',
'test-extract.R:3:1', 'test-extract.R:54:1', 'test-extract.R:67:1',
'test-extract.R:110:1', 'test-failed_models.R:25:1',
'test-failed_models.R:47:1', 'test-fit_interfaces.R:39:1',
'test-fit_interfaces.R:70:1', 'test-fit_interfaces.R:86:1',
'test-fit_interfaces.R:122:1', 'test-fit_interfaces.R:172:3',
'test-format_predictions.R:128:1', 'test-format_predictions.R:132:1',
'test-format_predictions.R:136:1', 'test-format_predictions.R:140:1',
'test-format_predictions.R:144:1', 'test-format_predictions.R:148:1',
'test-format_predictions.R:152:1', 'test-gen_additive_mod-tunable.R:1:1',
'test-gen_additive_model.R:3:1', 'test-gen_additive_model.R:47:1',
'test-linear_reg-tunable.R:1:1', 'test-linear_reg-tunable.R:9:1',
'test-linear_reg-tunable.R:17:1', 'test-linear_reg-tunable.R:25:1',
'test-linear_reg-tunable.R:33:1', 'test-linear_reg-tunable.R:41:1',
'test-linear_reg-tunable.R:49:1', 'test-linear_reg-tunable.R:57:1',
'test-linear_reg-tunable.R:65:1', 'test-linear_reg-tunable.R:73:1',
'test-linear_reg-tunable.R:81:1', 'test-linear_reg-tunable.R:89:1',
'test-linear_reg-tunable.R:97:1', 'test-linear_reg-tunable.R:105:1',
'test-linear_reg.R:7:1', 'test-linear_reg.R:15:1', 'test-linear_reg.R:29:1',
'test-linear_reg.R:109:1', 'test-linear_reg.R:308:1',
'test-linear_reg.R:318:1', 'test-linear_reg.R:325:1',
'test-linear_reg.R:354:1', 'test-linear_reg.R:408:1',
'test-linear_reg_keras3.R:30:3', 'test-linear_reg_keras3.R:94:3',
'test-logistic_reg-tunable.R:1:1', 'test-logistic_reg-tunable.R:9:1',
'test-logistic_reg-tunable.R:17:1', 'test-logistic_reg-tunable.R:25:1',
'test-logistic_reg-tunable.R:33:1', 'test-logistic_reg-tunable.R:41:1',
'test-logistic_reg-tunable.R:49:1', 'test-logistic_reg.R:7:1',
'test-logistic_reg.R:15:1', 'test-logistic_reg.R:39:1',
'test-logistic_reg.R:174:1', 'test-logistic_reg.R:271:1',
'test-logistic_reg.R:312:1', 'test-logistic_reg_keras3.R:40:3',
'test-logistic_reg_keras3.R:104:3', 'test-logistic_reg_keras3.R:154:3',
'test-mars-tunable.R:1:1', 'test-mars.R:7:1', 'test-mars.R:24:1',
'test-mars.R:155:1', 'test-mars.R:251:1', 'test-misc.R:6:1',
'test-misc.R:60:1', 'test-misc.R:104:1', 'test-misc.R:132:1',
'test-misc.R:167:1', 'test-misc.R:171:1', 'test-misc.R:179:1',
'test-misc.R:251:1', 'test-misc.R:304:1', 'test-mlp-tunable.R:1:1',
'test-mlp-tunable.R:9:1', 'test-mlp-tunable.R:17:1',
'test-mlp-tunable.R:25:1', 'test-mlp.R:5:1', 'test-mlp.R:13:1',
'test-mlp.R:62:1', 'test-mlp.R:96:1', 'test-mlp_keras3.R:26:3',
'test-mlp_keras3.R:68:3', 'test-mlp_keras3.R:127:3',
'test-mlp_keras3.R:184:3', 'test-mlp_keras3.R:210:3',
'test-mlp_keras3.R:255:3', 'test-mlp_keras3.R:296:3',
'test-model_basics.R:1:1', 'test-multinom_reg-tunable.R:1:1',
'test-multinom_reg-tunable.R:9:1', 'test-multinom_reg-tunable.R:17:1',
'test-multinom_reg-tunable.R:25:1', 'test-multinom_reg-tunable.R:33:1',
'test-multinom_reg.R:6:1', 'test-multinom_reg.R:14:1',
'test-multinom_reg.R:30:1', 'test-multinom_reg.R:55:1',
'test-multinom_reg_keras3.R:38:3', 'test-multinom_reg_keras3.R:102:3',
'test-multinom_reg_keras3.R:152:3', 'test-nearest_neighbor-tunable.R:1:1',
'test-nearest_neighbor.R:1:1', 'test-nearest_neighbor.R:9:1',
'test-nearest_neighbor.R:13:1', 'test-nearest_neighbor_kknn.R:17:1',
'test-nearest_neighbor_kknn.R:199:1', 'test-null_model-tunable.R:1:1',
'test-nullmodel.R:5:1', 'test-nullmodel.R:27:1', 'test-nullmodel.R:134:1',
'test-packages.R:5:1', 'test-packages.R:33:1', 'test-partykit.R:4:3',
'test-partykit.R:49:3', 'test-predict_formats.R:148:1',
'test-predict_formats.R:202:3', 'test-print.R:1:1', 'test-print.R:9:1',
'test-rand_forest-tunable.R:1:1', 'test-rand_forest-tunable.R:9:1',
'test-rand_forest-tunable.R:17:1', 'test-rand_forest-tunable.R:25:1',
'test-rand_forest-tunable.R:33:1', 'test-rand_forest.R:1:1',
'test-rand_forest.R:9:1', 'test-rand_forest_ranger.R:21:1',
'test-rand_forest_ranger.R:121:1', 'test-rand_forest_ranger.R:264:1',
'test-rand_forest_ranger.R:476:1', 'test-rand_forest_ranger.R:548:1',
'test-re_registration.R:30:1', 'test-re_registration.R:68:1',
'test-re_registration.R:105:1', 'test-registration.R:1:1',
'test-registration.R:65:1', 'test-registration.R:70:1',
'test-registration.R:81:1', 'test-registration.R:105:1',
'test-registration.R:143:1', 'test-registration.R:285:1',
'test-registration.R:416:1', 'test-registration.R:552:1',
'test-repair_call.R:1:1', 'test-sparsevctrs.R:5:3',
'test-sparsevctrs.R:23:1', 'test-sparsevctrs.R:37:3',
'test-sparsevctrs.R:55:1', 'test-sparsevctrs.R:69:3',
'test-sparsevctrs.R:86:1', 'test-sparsevctrs.R:100:3',
'test-sparsevctrs.R:117:1', 'test-sparsevctrs.R:149:1',
'test-sparsevctrs.R:186:1', 'test-sparsevctrs.R:205:3',
'test-sparsevctrs.R:247:3', 'test-sparsevctrs.R:292:3',
'test-sparsevctrs.R:368:1', 'test-standalone-survival.R:1:1',
'test-surv_reg-tunable.R:1:1', 'test-surv_reg-tunable.R:9:1',
'test-surv_reg-tunable.R:17:1', 'test-svm_linear-tunable.R:1:1',
'test-svm_linear-tunable.R:9:1', 'test-svm_linear.R:7:1',
'test-svm_linear.R:15:1', 'test-svm_linear.R:160:1',
'test-svm_poly-tunable.R:1:1', 'test-svm_poly.R:6:1', 'test-svm_poly.R:14:1',
'test-svm_rbf-tunable.R:1:1', 'test-svm_rbf-tunable.R:9:1',
'test-svm_rbf.R:7:1', 'test-svm_rbf.R:15:1', 'test-svm_rbf.R:23:1',
'test-translate.R:24:1', 'test-translate.R:48:1', 'test-translate.R:75:1',
'test-translate.R:85:1', 'test-translate.R:118:1', 'test-translate.R:160:1',
'test-translate.R:174:1', 'test-translate.R:207:1', 'test-translate.R:224:1',
'test-translate.R:246:1', 'test-translate.R:277:1', 'test-translate.R:290:1',
'test-translate.R:320:1', 'test-translate.R:330:1', 'test-translate.R:340:1',
'test-translate.R:352:1', 'test-translate.R:363:1', 'test-tune_args.R:27:1',
'test-update.R:1:1', 'test-update.R:27:1'
• empty test (1):
• nrow(spark_installed_versions()) == 0 is TRUE (1): 'test-boost_tree.R:26:3'
• waiting for keras3 (4): 'test-linear_reg_keras.R:1:1',
'test-logistic_reg_keras.R:1:1', 'test-mlp_keras.R:1:1',
'test-multinom_reg_keras.R:1:1'
• {brulee} is not installed (2): 'test-mlp.R:34:3', 'test-tunable.R:2:3'
• {glmnet} is not installed (3): 'test-linear_reg.R:377:3',
'test-predict_formats.R:191:3', 'test-sparsevctrs.R:341:3'
• {nnet} is not installed (9): 'test-mlp_nnet.R:14:3', 'test-mlp_nnet.R:47:3',
'test-mlp_nnet.R:105:3', 'test-mlp_nnet.R:128:3', 'test-mlp_nnet.R:161:3',
'test-multinom_reg_nnet.R:24:3', 'test-multinom_reg_nnet.R:62:3',
'test-multinom_reg_nnet.R:82:3', 'test-multinom_reg_nnet.R:108:3'
• {quantreg} is not installed (2): 'test-linear_reg_quantreg.R:4:3',
'test-linear_reg_quantreg.R:58:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-svm_linear.R:104:3'): linear svm regression prediction: LiblineaR ──
Expected `as.data.frame(liblinear_pred)` to equal `as.data.frame(parsnip_pred)`.
Differences:
actual vs expected
.pred
- actual[1, ] 85.13979
+ expected[1, ] 116.95434
- actual[2, ] 576.16232
+ expected[2, ] 592.97292
- actual[3, ] 1886.10132
+ expected[3, ] 1862.88470
`actual$.pred`: 85.1 576.2 1886.1
`expected$.pred`: 117.0 593.0 1862.9
── Failure ('test-svm_linear.R:123:3'): linear svm regression prediction: LiblineaR ──
Expected `as.data.frame(liblinear_pred)` to equal `as.data.frame(parsnip_xy_pred)`.
Differences:
actual vs expected
.pred
- actual[1, ] 85.13979
+ expected[1, ] 116.95434
- actual[2, ] 576.16232
+ expected[2, ] 592.97292
- actual[3, ] 1886.10132
+ expected[3, ] 1862.88470
`actual$.pred`: 85.1 576.2 1886.1
`expected$.pred`: 117.0 593.0 1862.9
[ FAIL 2 | WARN 3 | SKIP 275 | PASS 810 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 1.6.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [56s/55s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(parsnip)
>
> test_check("parsnip")
Attaching package: 'modeldata'
The following object is masked from 'package:datasets':
penguins
warning: Failed to inspect Python interpreter from search path at `/usr/sbin/pypy`
Caused by: Can't use Python at `/usr/sbin/pypy`
Caused by: Python executable does not support `-I` flag. Please use Python 3.6 or newer.
To use legacy Keras via py_require(), call py_require_legacy_keras() at the start of the R session.
Hint: To use tensorflow with `py_require()`, call `py_require("tensorflow")` at the start of the R session
Attaching package: 'sparklyr'
The following object is masked from 'package:stats':
filter
Saving _problems/test-svm_linear-108.R
Saving _problems/test-svm_linear-127.R
[ FAIL 2 | WARN 3 | SKIP 275 | PASS 810 ]
══ Skipped tests (275) ═════════════════════════════════════════════════════════
• On CRAN (253): 'test-adds.R:7:1', 'test-args_and_modes.R:1:1',
'test-args_and_modes.R:31:1', 'test-args_and_modes.R:41:1',
'test-args_and_modes.R:49:1', 'test-args_and_modes.R:119:1',
'test-arguments.R:1:1', 'test-augment.R:1:1', 'test-augment.R:140:1',
'test-bart-tunable.R:1:1', 'test-boost_tree-tunable.R:1:1',
'test-boost_tree-tunable.R:9:1', 'test-boost_tree-tunable.R:17:1',
'test-boost_tree-tunable.R:25:1', 'test-boost_tree-tunable.R:33:1',
'test-boost_tree.R:7:1', 'test-boost_tree.R:15:1', 'test-boost_tree.R:43:3',
'test-boost_tree.R:55:3', 'test-boost_tree_C5.0.R:14:1',
'test-boost_tree_C5.0.R:116:1', 'test-boost_tree_C5.0.R:162:1',
'test-boost_tree_xgboost.R:33:3', 'test-boost_tree_xgboost.R:112:3',
'test-boost_tree_xgboost.R:182:3', 'test-boost_tree_xgboost.R:208:3',
'test-boost_tree_xgboost.R:244:3', 'test-boost_tree_xgboost.R:279:3',
'test-boost_tree_xgboost.R:342:3', 'test-boost_tree_xgboost.R:368:3',
'test-boost_tree_xgboost.R:422:3', 'test-boost_tree_xgboost.R:485:3',
'test-boost_tree_xgboost.R:574:3', 'test-boost_tree_xgboost.R:646:3',
'test-boost_tree_xgboost.R:688:3', 'test-boost_tree_xgboost.R:790:3',
'test-boost_tree_xgboost.R:848:3', 'test-boost_tree_xgboost.R:946:3',
'test-case-weights.R:105:1', 'test-condense_control.R:1:1',
'test-convert_data.R:280:1', 'test-convert_data.R:348:1',
'test-convert_data.R:379:1', 'test-convert_data.R:660:1',
'test-convert_data.R:677:1', 'test-decision_tree-tunable.R:1:1',
'test-decision_tree-tunable.R:9:1', 'test-decision_tree-tunable.R:17:1',
'test-decision_tree-tunable.R:25:1', 'test-decision_tree.R:7:1',
'test-decision_tree.R:15:1', 'test-decision_tree.R:32:1',
'test-descriptors.R:202:1', 'test-descriptors.R:225:3', 'test-engines.R:1:1',
'test-extract.R:3:1', 'test-extract.R:54:1', 'test-extract.R:67:1',
'test-extract.R:110:1', 'test-failed_models.R:25:1',
'test-failed_models.R:47:1', 'test-fit_interfaces.R:39:1',
'test-fit_interfaces.R:70:1', 'test-fit_interfaces.R:86:1',
'test-fit_interfaces.R:122:1', 'test-fit_interfaces.R:172:3',
'test-format_predictions.R:128:1', 'test-format_predictions.R:132:1',
'test-format_predictions.R:136:1', 'test-format_predictions.R:140:1',
'test-format_predictions.R:144:1', 'test-format_predictions.R:148:1',
'test-format_predictions.R:152:1', 'test-gen_additive_mod-tunable.R:1:1',
'test-gen_additive_model.R:3:1', 'test-gen_additive_model.R:47:1',
'test-linear_reg-tunable.R:1:1', 'test-linear_reg-tunable.R:9:1',
'test-linear_reg-tunable.R:17:1', 'test-linear_reg-tunable.R:25:1',
'test-linear_reg-tunable.R:33:1', 'test-linear_reg-tunable.R:41:1',
'test-linear_reg-tunable.R:49:1', 'test-linear_reg-tunable.R:57:1',
'test-linear_reg-tunable.R:65:1', 'test-linear_reg-tunable.R:73:1',
'test-linear_reg-tunable.R:81:1', 'test-linear_reg-tunable.R:89:1',
'test-linear_reg-tunable.R:97:1', 'test-linear_reg-tunable.R:105:1',
'test-linear_reg.R:7:1', 'test-linear_reg.R:15:1', 'test-linear_reg.R:29:1',
'test-linear_reg.R:109:1', 'test-linear_reg.R:308:1',
'test-linear_reg.R:318:1', 'test-linear_reg.R:325:1',
'test-linear_reg.R:354:1', 'test-linear_reg.R:408:1',
'test-linear_reg_keras3.R:30:3', 'test-linear_reg_keras3.R:94:3',
'test-logistic_reg-tunable.R:1:1', 'test-logistic_reg-tunable.R:9:1',
'test-logistic_reg-tunable.R:17:1', 'test-logistic_reg-tunable.R:25:1',
'test-logistic_reg-tunable.R:33:1', 'test-logistic_reg-tunable.R:41:1',
'test-logistic_reg-tunable.R:49:1', 'test-logistic_reg.R:7:1',
'test-logistic_reg.R:15:1', 'test-logistic_reg.R:39:1',
'test-logistic_reg.R:174:1', 'test-logistic_reg.R:271:1',
'test-logistic_reg.R:312:1', 'test-logistic_reg_keras3.R:40:3',
'test-logistic_reg_keras3.R:104:3', 'test-logistic_reg_keras3.R:154:3',
'test-mars-tunable.R:1:1', 'test-mars.R:7:1', 'test-mars.R:24:1',
'test-mars.R:155:1', 'test-mars.R:251:1', 'test-misc.R:6:1',
'test-misc.R:60:1', 'test-misc.R:104:1', 'test-misc.R:132:1',
'test-misc.R:167:1', 'test-misc.R:171:1', 'test-misc.R:179:1',
'test-misc.R:251:1', 'test-misc.R:304:1', 'test-mlp-tunable.R:1:1',
'test-mlp-tunable.R:9:1', 'test-mlp-tunable.R:17:1',
'test-mlp-tunable.R:25:1', 'test-mlp.R:5:1', 'test-mlp.R:13:1',
'test-mlp.R:62:1', 'test-mlp.R:96:1', 'test-mlp_keras3.R:26:3',
'test-mlp_keras3.R:68:3', 'test-mlp_keras3.R:127:3',
'test-mlp_keras3.R:184:3', 'test-mlp_keras3.R:210:3',
'test-mlp_keras3.R:255:3', 'test-mlp_keras3.R:296:3',
'test-model_basics.R:1:1', 'test-multinom_reg-tunable.R:1:1',
'test-multinom_reg-tunable.R:9:1', 'test-multinom_reg-tunable.R:17:1',
'test-multinom_reg-tunable.R:25:1', 'test-multinom_reg-tunable.R:33:1',
'test-multinom_reg.R:6:1', 'test-multinom_reg.R:14:1',
'test-multinom_reg.R:30:1', 'test-multinom_reg.R:55:1',
'test-multinom_reg_keras3.R:38:3', 'test-multinom_reg_keras3.R:102:3',
'test-multinom_reg_keras3.R:152:3', 'test-nearest_neighbor-tunable.R:1:1',
'test-nearest_neighbor.R:1:1', 'test-nearest_neighbor.R:9:1',
'test-nearest_neighbor.R:13:1', 'test-nearest_neighbor_kknn.R:17:1',
'test-nearest_neighbor_kknn.R:199:1', 'test-null_model-tunable.R:1:1',
'test-nullmodel.R:5:1', 'test-nullmodel.R:27:1', 'test-nullmodel.R:134:1',
'test-packages.R:5:1', 'test-packages.R:33:1', 'test-partykit.R:4:3',
'test-partykit.R:49:3', 'test-predict_formats.R:148:1',
'test-predict_formats.R:202:3', 'test-print.R:1:1', 'test-print.R:9:1',
'test-rand_forest-tunable.R:1:1', 'test-rand_forest-tunable.R:9:1',
'test-rand_forest-tunable.R:17:1', 'test-rand_forest-tunable.R:25:1',
'test-rand_forest-tunable.R:33:1', 'test-rand_forest.R:1:1',
'test-rand_forest.R:9:1', 'test-rand_forest_ranger.R:21:1',
'test-rand_forest_ranger.R:121:1', 'test-rand_forest_ranger.R:264:1',
'test-rand_forest_ranger.R:476:1', 'test-rand_forest_ranger.R:548:1',
'test-re_registration.R:30:1', 'test-re_registration.R:68:1',
'test-re_registration.R:105:1', 'test-registration.R:1:1',
'test-registration.R:65:1', 'test-registration.R:70:1',
'test-registration.R:81:1', 'test-registration.R:105:1',
'test-registration.R:143:1', 'test-registration.R:285:1',
'test-registration.R:416:1', 'test-registration.R:552:1',
'test-repair_call.R:1:1', 'test-sparsevctrs.R:5:3',
'test-sparsevctrs.R:23:1', 'test-sparsevctrs.R:37:3',
'test-sparsevctrs.R:55:1', 'test-sparsevctrs.R:69:3',
'test-sparsevctrs.R:86:1', 'test-sparsevctrs.R:100:3',
'test-sparsevctrs.R:117:1', 'test-sparsevctrs.R:149:1',
'test-sparsevctrs.R:186:1', 'test-sparsevctrs.R:205:3',
'test-sparsevctrs.R:247:3', 'test-sparsevctrs.R:292:3',
'test-sparsevctrs.R:368:1', 'test-standalone-survival.R:1:1',
'test-surv_reg-tunable.R:1:1', 'test-surv_reg-tunable.R:9:1',
'test-surv_reg-tunable.R:17:1', 'test-svm_linear-tunable.R:1:1',
'test-svm_linear-tunable.R:9:1', 'test-svm_linear.R:7:1',
'test-svm_linear.R:15:1', 'test-svm_linear.R:160:1',
'test-svm_poly-tunable.R:1:1', 'test-svm_poly.R:6:1', 'test-svm_poly.R:14:1',
'test-svm_rbf-tunable.R:1:1', 'test-svm_rbf-tunable.R:9:1',
'test-svm_rbf.R:7:1', 'test-svm_rbf.R:15:1', 'test-svm_rbf.R:23:1',
'test-translate.R:24:1', 'test-translate.R:48:1', 'test-translate.R:75:1',
'test-translate.R:85:1', 'test-translate.R:118:1', 'test-translate.R:160:1',
'test-translate.R:174:1', 'test-translate.R:207:1', 'test-translate.R:224:1',
'test-translate.R:246:1', 'test-translate.R:277:1', 'test-translate.R:290:1',
'test-translate.R:320:1', 'test-translate.R:330:1', 'test-translate.R:340:1',
'test-translate.R:352:1', 'test-translate.R:363:1', 'test-tune_args.R:27:1',
'test-update.R:1:1', 'test-update.R:27:1'
• empty test (1):
• nrow(spark_installed_versions()) == 0 is TRUE (1): 'test-boost_tree.R:26:3'
• waiting for keras3 (4): 'test-linear_reg_keras.R:1:1',
'test-logistic_reg_keras.R:1:1', 'test-mlp_keras.R:1:1',
'test-multinom_reg_keras.R:1:1'
• {brulee} is not installed (2): 'test-mlp.R:34:3', 'test-tunable.R:2:3'
• {glmnet} is not installed (3): 'test-linear_reg.R:377:3',
'test-predict_formats.R:191:3', 'test-sparsevctrs.R:341:3'
• {nnet} is not installed (9): 'test-mlp_nnet.R:14:3', 'test-mlp_nnet.R:47:3',
'test-mlp_nnet.R:105:3', 'test-mlp_nnet.R:128:3', 'test-mlp_nnet.R:161:3',
'test-multinom_reg_nnet.R:24:3', 'test-multinom_reg_nnet.R:62:3',
'test-multinom_reg_nnet.R:82:3', 'test-multinom_reg_nnet.R:108:3'
• {quantreg} is not installed (2): 'test-linear_reg_quantreg.R:4:3',
'test-linear_reg_quantreg.R:58:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-svm_linear.R:104:3'): linear svm regression prediction: LiblineaR ──
Expected `as.data.frame(liblinear_pred)` to equal `as.data.frame(parsnip_pred)`.
Differences:
actual vs expected
.pred
- actual[1, ] 85.13979
+ expected[1, ] 116.95434
- actual[2, ] 576.16232
+ expected[2, ] 592.97292
- actual[3, ] 1886.10132
+ expected[3, ] 1862.88470
`actual$.pred`: 85.1 576.2 1886.1
`expected$.pred`: 117.0 593.0 1862.9
── Failure ('test-svm_linear.R:123:3'): linear svm regression prediction: LiblineaR ──
Expected `as.data.frame(liblinear_pred)` to equal `as.data.frame(parsnip_xy_pred)`.
Differences:
actual vs expected
.pred
- actual[1, ] 85.13979
+ expected[1, ] 116.95434
- actual[2, ] 576.16232
+ expected[2, ] 592.97292
- actual[3, ] 1886.10132
+ expected[3, ] 1862.88470
`actual$.pred`: 85.1 576.2 1886.1
`expected$.pred`: 117.0 593.0 1862.9
[ FAIL 2 | WARN 3 | SKIP 275 | PASS 810 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 1.6.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [63s/71s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(parsnip)
>
> test_check("parsnip")
Attaching package: 'modeldata'
The following object is masked from 'package:datasets':
penguins
warning: Failed to inspect Python interpreter from search path at `/usr/sbin/pypy`
Caused by: Can't use Python at `/usr/sbin/pypy`
Caused by: Python executable does not support `-I` flag. Please use Python 3.6 or newer.
To use legacy Keras via py_require(), call py_require_legacy_keras() at the start of the R session.
Hint: To use tensorflow with `py_require()`, call `py_require("tensorflow")` at the start of the R session
Attaching package: 'sparklyr'
The following object is masked from 'package:stats':
filter
Saving _problems/test-svm_linear-108.R
Saving _problems/test-svm_linear-127.R
[ FAIL 2 | WARN 3 | SKIP 265 | PASS 871 ]
══ Skipped tests (265) ═════════════════════════════════════════════════════════
• On CRAN (259): 'test-adds.R:7:1', 'test-args_and_modes.R:1:1',
'test-args_and_modes.R:31:1', 'test-args_and_modes.R:41:1',
'test-args_and_modes.R:49:1', 'test-args_and_modes.R:119:1',
'test-arguments.R:1:1', 'test-augment.R:1:1', 'test-augment.R:140:1',
'test-bart-tunable.R:1:1', 'test-boost_tree-tunable.R:1:1',
'test-boost_tree-tunable.R:9:1', 'test-boost_tree-tunable.R:17:1',
'test-boost_tree-tunable.R:25:1', 'test-boost_tree-tunable.R:33:1',
'test-boost_tree.R:7:1', 'test-boost_tree.R:15:1', 'test-boost_tree.R:43:3',
'test-boost_tree.R:55:3', 'test-boost_tree_C5.0.R:14:1',
'test-boost_tree_C5.0.R:116:1', 'test-boost_tree_C5.0.R:162:1',
'test-boost_tree_xgboost.R:33:3', 'test-boost_tree_xgboost.R:112:3',
'test-boost_tree_xgboost.R:182:3', 'test-boost_tree_xgboost.R:208:3',
'test-boost_tree_xgboost.R:244:3', 'test-boost_tree_xgboost.R:279:3',
'test-boost_tree_xgboost.R:342:3', 'test-boost_tree_xgboost.R:368:3',
'test-boost_tree_xgboost.R:422:3', 'test-boost_tree_xgboost.R:485:3',
'test-boost_tree_xgboost.R:574:3', 'test-boost_tree_xgboost.R:646:3',
'test-boost_tree_xgboost.R:688:3', 'test-boost_tree_xgboost.R:790:3',
'test-boost_tree_xgboost.R:848:3', 'test-boost_tree_xgboost.R:946:3',
'test-case-weights.R:105:1', 'test-condense_control.R:1:1',
'test-convert_data.R:280:1', 'test-convert_data.R:348:1',
'test-convert_data.R:379:1', 'test-convert_data.R:660:1',
'test-convert_data.R:677:1', 'test-decision_tree-tunable.R:1:1',
'test-decision_tree-tunable.R:9:1', 'test-decision_tree-tunable.R:17:1',
'test-decision_tree-tunable.R:25:1', 'test-decision_tree.R:7:1',
'test-decision_tree.R:15:1', 'test-decision_tree.R:32:1',
'test-descriptors.R:202:1', 'test-descriptors.R:225:3', 'test-engines.R:1:1',
'test-extract.R:3:1', 'test-extract.R:54:1', 'test-extract.R:67:1',
'test-extract.R:110:1', 'test-failed_models.R:25:1',
'test-failed_models.R:47:1', 'test-fit_interfaces.R:39:1',
'test-fit_interfaces.R:70:1', 'test-fit_interfaces.R:86:1',
'test-fit_interfaces.R:122:1', 'test-fit_interfaces.R:172:3',
'test-format_predictions.R:128:1', 'test-format_predictions.R:132:1',
'test-format_predictions.R:136:1', 'test-format_predictions.R:140:1',
'test-format_predictions.R:144:1', 'test-format_predictions.R:148:1',
'test-format_predictions.R:152:1', 'test-gen_additive_mod-tunable.R:1:1',
'test-gen_additive_model.R:3:1', 'test-gen_additive_model.R:47:1',
'test-linear_reg-tunable.R:1:1', 'test-linear_reg-tunable.R:9:1',
'test-linear_reg-tunable.R:17:1', 'test-linear_reg-tunable.R:25:1',
'test-linear_reg-tunable.R:33:1', 'test-linear_reg-tunable.R:41:1',
'test-linear_reg-tunable.R:49:1', 'test-linear_reg-tunable.R:57:1',
'test-linear_reg-tunable.R:65:1', 'test-linear_reg-tunable.R:73:1',
'test-linear_reg-tunable.R:81:1', 'test-linear_reg-tunable.R:89:1',
'test-linear_reg-tunable.R:97:1', 'test-linear_reg-tunable.R:105:1',
'test-linear_reg.R:7:1', 'test-linear_reg.R:15:1', 'test-linear_reg.R:29:1',
'test-linear_reg.R:109:1', 'test-linear_reg.R:308:1',
'test-linear_reg.R:318:1', 'test-linear_reg.R:325:1',
'test-linear_reg.R:354:1', 'test-linear_reg.R:376:1',
'test-linear_reg.R:408:1', 'test-linear_reg_keras3.R:30:3',
'test-linear_reg_keras3.R:94:3', 'test-linear_reg_quantreg.R:57:1',
'test-logistic_reg-tunable.R:1:1', 'test-logistic_reg-tunable.R:9:1',
'test-logistic_reg-tunable.R:17:1', 'test-logistic_reg-tunable.R:25:1',
'test-logistic_reg-tunable.R:33:1', 'test-logistic_reg-tunable.R:41:1',
'test-logistic_reg-tunable.R:49:1', 'test-logistic_reg.R:7:1',
'test-logistic_reg.R:15:1', 'test-logistic_reg.R:39:1',
'test-logistic_reg.R:174:1', 'test-logistic_reg.R:271:1',
'test-logistic_reg.R:312:1', 'test-logistic_reg_keras3.R:40:3',
'test-logistic_reg_keras3.R:104:3', 'test-logistic_reg_keras3.R:154:3',
'test-mars-tunable.R:1:1', 'test-mars.R:7:1', 'test-mars.R:24:1',
'test-mars.R:155:1', 'test-mars.R:251:1', 'test-misc.R:6:1',
'test-misc.R:60:1', 'test-misc.R:104:1', 'test-misc.R:132:1',
'test-misc.R:167:1', 'test-misc.R:171:1', 'test-misc.R:179:1',
'test-misc.R:251:1', 'test-misc.R:304:1', 'test-mlp-tunable.R:1:1',
'test-mlp-tunable.R:9:1', 'test-mlp-tunable.R:17:1',
'test-mlp-tunable.R:25:1', 'test-mlp.R:5:1', 'test-mlp.R:13:1',
'test-mlp.R:36:3', 'test-mlp.R:62:1', 'test-mlp.R:96:1',
'test-mlp_keras3.R:26:3', 'test-mlp_keras3.R:68:3',
'test-mlp_keras3.R:127:3', 'test-mlp_keras3.R:184:3',
'test-mlp_keras3.R:210:3', 'test-mlp_keras3.R:255:3',
'test-mlp_keras3.R:296:3', 'test-mlp_nnet.R:13:1', 'test-model_basics.R:1:1',
'test-multinom_reg-tunable.R:1:1', 'test-multinom_reg-tunable.R:9:1',
'test-multinom_reg-tunable.R:17:1', 'test-multinom_reg-tunable.R:25:1',
'test-multinom_reg-tunable.R:33:1', 'test-multinom_reg.R:6:1',
'test-multinom_reg.R:14:1', 'test-multinom_reg.R:30:1',
'test-multinom_reg.R:55:1', 'test-multinom_reg_keras3.R:38:3',
'test-multinom_reg_keras3.R:102:3', 'test-multinom_reg_keras3.R:152:3',
'test-nearest_neighbor-tunable.R:1:1', 'test-nearest_neighbor.R:1:1',
'test-nearest_neighbor.R:9:1', 'test-nearest_neighbor.R:13:1',
'test-nearest_neighbor_kknn.R:17:1', 'test-nearest_neighbor_kknn.R:199:1',
'test-null_model-tunable.R:1:1', 'test-nullmodel.R:5:1',
'test-nullmodel.R:27:1', 'test-nullmodel.R:134:1', 'test-packages.R:5:1',
'test-packages.R:33:1', 'test-partykit.R:4:3', 'test-partykit.R:49:3',
'test-predict_formats.R:148:1', 'test-predict_formats.R:172:1',
'test-predict_formats.R:202:3', 'test-print.R:1:1', 'test-print.R:9:1',
'test-rand_forest-tunable.R:1:1', 'test-rand_forest-tunable.R:9:1',
'test-rand_forest-tunable.R:17:1', 'test-rand_forest-tunable.R:25:1',
'test-rand_forest-tunable.R:33:1', 'test-rand_forest.R:1:1',
'test-rand_forest.R:9:1', 'test-rand_forest_ranger.R:21:1',
'test-rand_forest_ranger.R:121:1', 'test-rand_forest_ranger.R:264:1',
'test-rand_forest_ranger.R:476:1', 'test-rand_forest_ranger.R:548:1',
'test-re_registration.R:30:1', 'test-re_registration.R:68:1',
'test-re_registration.R:105:1', 'test-registration.R:1:1',
'test-registration.R:65:1', 'test-registration.R:70:1',
'test-registration.R:81:1', 'test-registration.R:105:1',
'test-registration.R:143:1', 'test-registration.R:285:1',
'test-registration.R:416:1', 'test-registration.R:552:1',
'test-repair_call.R:1:1', 'test-sparsevctrs.R:5:3',
'test-sparsevctrs.R:23:1', 'test-sparsevctrs.R:37:3',
'test-sparsevctrs.R:55:1', 'test-sparsevctrs.R:69:3',
'test-sparsevctrs.R:86:1', 'test-sparsevctrs.R:100:3',
'test-sparsevctrs.R:117:1', 'test-sparsevctrs.R:149:1',
'test-sparsevctrs.R:186:1', 'test-sparsevctrs.R:205:3',
'test-sparsevctrs.R:247:3', 'test-sparsevctrs.R:292:3',
'test-sparsevctrs.R:340:1', 'test-sparsevctrs.R:368:1',
'test-standalone-survival.R:1:1', 'test-surv_reg-tunable.R:1:1',
'test-surv_reg-tunable.R:9:1', 'test-surv_reg-tunable.R:17:1',
'test-svm_linear-tunable.R:1:1', 'test-svm_linear-tunable.R:9:1',
'test-svm_linear.R:7:1', 'test-svm_linear.R:15:1', 'test-svm_linear.R:160:1',
'test-svm_poly-tunable.R:1:1', 'test-svm_poly.R:6:1', 'test-svm_poly.R:14:1',
'test-svm_rbf-tunable.R:1:1', 'test-svm_rbf-tunable.R:9:1',
'test-svm_rbf.R:7:1', 'test-svm_rbf.R:15:1', 'test-svm_rbf.R:23:1',
'test-translate.R:24:1', 'test-translate.R:48:1', 'test-translate.R:75:1',
'test-translate.R:85:1', 'test-translate.R:118:1', 'test-translate.R:160:1',
'test-translate.R:174:1', 'test-translate.R:207:1', 'test-translate.R:224:1',
'test-translate.R:246:1', 'test-translate.R:277:1', 'test-translate.R:290:1',
'test-translate.R:320:1', 'test-translate.R:330:1', 'test-translate.R:340:1',
'test-translate.R:352:1', 'test-translate.R:363:1', 'test-tune_args.R:27:1',
'test-update.R:1:1', 'test-update.R:27:1'
• empty test (1):
• nrow(spark_installed_versions()) == 0 is TRUE (1): 'test-boost_tree.R:26:3'
• waiting for keras3 (4): 'test-linear_reg_keras.R:1:1',
'test-logistic_reg_keras.R:1:1', 'test-mlp_keras.R:1:1',
'test-multinom_reg_keras.R:1:1'
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-svm_linear.R:104:3'): linear svm regression prediction: LiblineaR ──
Expected `as.data.frame(liblinear_pred)` to equal `as.data.frame(parsnip_pred)`.
Differences:
actual vs expected
.pred
- actual[1, ] 85.13979
+ expected[1, ] 116.95434
- actual[2, ] 576.16232
+ expected[2, ] 592.97292
- actual[3, ] 1886.10132
+ expected[3, ] 1862.88470
`actual$.pred`: 85.1 576.2 1886.1
`expected$.pred`: 117.0 593.0 1862.9
── Failure ('test-svm_linear.R:123:3'): linear svm regression prediction: LiblineaR ──
Expected `as.data.frame(liblinear_pred)` to equal `as.data.frame(parsnip_xy_pred)`.
Differences:
actual vs expected
.pred
- actual[1, ] 85.13979
+ expected[1, ] 116.95434
- actual[2, ] 576.16232
+ expected[2, ] 592.97292
- actual[3, ] 1886.10132
+ expected[3, ] 1862.88470
`actual$.pred`: 85.1 576.2 1886.1
`expected$.pred`: 117.0 593.0 1862.9
[ FAIL 2 | WARN 3 | SKIP 265 | PASS 871 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc