Check results for 'orbital'

using R version 4.4.3 (2025-02-28)
using platform: aarch64-apple-darwin20
R was compiled by Apple clang version 14.0.0 (clang-1400.0.29.202) GNU Fortran (GCC) 12.2.0
running under: macOS Ventura 13.7.8
using session charset: UTF-8
checking for file ‘orbital/DESCRIPTION’ ... OK
this is package ‘orbital’ version ‘0.4.0’
package encoding: UTF-8
checking package namespace information ... OK
checking package dependencies ... OK
checking if this is a source package ... OK
checking if there is a namespace ... OK
checking for executable files ... OK
checking for hidden files and directories ... OK
checking for portable file names ... OK
checking for sufficient/correct file permissions ... OK
checking whether package ‘orbital’ can be installed ... [1s/1s] OK See the install log for details.
checking installed package size ... OK
checking package directory ... OK
checking ‘build’ directory ... OK
checking DESCRIPTION meta-information ... OK
checking top-level files ... OK
checking for left-over files ... OK
checking index information ... OK
checking package subdirectories ... OK
checking code files for non-ASCII characters ... OK
checking R files for syntax errors ... OK
checking whether the package can be loaded ... [0s/0s] OK
checking whether the package can be loaded with stated dependencies ... [0s/0s] OK
checking whether the package can be unloaded cleanly ... [0s/0s] OK
checking whether the namespace can be loaded with stated dependencies ... [0s/0s] OK
checking whether the namespace can be unloaded cleanly ... [0s/0s] OK
checking loading without being on the library search path ... [0s/0s] OK
checking dependencies in R code ... OK
checking S3 generic/method consistency ... OK
checking replacement functions ... OK
checking foreign function calls ... OK
checking R code for possible problems ... [1s/1s] OK
checking Rd files ... [0s/0s] OK
checking Rd metadata ... OK
checking Rd cross-references ... OK
checking for missing documentation entries ... OK
checking for code/documentation mismatches ... OK
checking Rd \usage sections ... OK
checking Rd contents ... OK
checking for unstated dependencies in examples ... OK
checking installed files from ‘inst/doc’ ... OK
checking files in ‘vignettes’ ... OK
checking examples ... [2s/2s] OK
checking for unstated dependencies in ‘tests’ ... OK
checking tests ... [26s/31s] ERROR Running ‘testthat.R’ [25s/31s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(orbital) > > test_check("orbital") Loading required package: parsnip Saving _problems/test-model-xgboost-17.R Saving _problems/test-model-xgboost-18.R Saving _problems/test-model-xgboost-23.R Saving _problems/test-model-xgboost-35.R Saving _problems/test-model-xgboost-65.R Saving _problems/test-model-xgboost-66.R Saving _problems/test-model-xgboost-67.R Saving _problems/test-model-xgboost-78.R Saving _problems/test-model-xgboost-90.R Saving _problems/test-model-xgboost-131.R Saving _problems/test-model-xgboost-132.R Saving _problems/test-model-xgboost-133.R Saving _problems/test-model-xgboost-134.R Saving _problems/test-model-xgboost-146.R Saving _problems/test-model-xgboost-158.R [ FAIL 15 | WARN 2 | SKIP 113 | PASS 370 ] ══ Skipped tests (113) ═════════════════════════════════════════════════════════ • On CRAN (69): 'test-adjust_equivocal_zone.R:36:1', 'test-adjust_equivocal_zone.R:155:3', 'test-adjust_numeric_range.R:123:3', 'test-adjust_predictions_custom.R:98:3', 'test-adjust_probability_threshold.R:34:1', 'test-adjust_probability_threshold.R:148:3', 'test-augment.R:41:3', 'test-dt.R:1:1', 'test-orbital.R:62:1', 'test-orbital.R:93:1', 'test-orbital.R:117:1', 'test-orbital.R:127:1', 'test-orbital.R:134:1', 'test-parsnip.R:1:1', 'test-parsnip.R:48:1', 'test-parsnip.R:63:1', 'test-recipes.R:1:1', 'test-show_query.R:7:3', 'test-sql.R:1:1', 'test-step_adasyn.R:20:1', 'test-step_adasyn.R:83:3', 'test-step_adasyn.R:111:3', 'test-step_bin2factor.R:79:3', 'test-step_boxcox.R:77:3', 'test-step_bsmote.R:20:1', 'test-step_bsmote.R:83:3', 'test-step_center.R:77:3', 'test-step_discretize.R:128:3', 'test-step_downsample.R:20:1', 'test-step_downsample.R:83:3', 'test-step_dummy.R:108:3', 'test-step_impute_mean.R:80:3', 'test-step_impute_median.R:81:3', 'test-step_impute_mode.R:93:3', 'test-step_indicate_na.R:83:3', 'test-step_intercept.R:67:3', 'test-step_inverse.R:94:3', 'test-step_lag.R:63:3', 'test-step_lencode_bayes.R:101:3', 'test-step_lencode_glm.R:96:3', 'test-step_lencode_mixed.R:104:3', 'test-step_log.R:94:3', 'test-step_mutate.R:77:3', 'test-step_nearmiss.R:20:1', 'test-step_nearmiss.R:83:3', 'test-step_normalize.R:77:3', 'test-step_novel.R:99:3', 'test-step_other.R:101:3', 'test-step_pca.R:152:3', 'test-step_pca_sparse.R:133:3', 'test-step_pca_sparse_bayes.R:118:3', 'test-step_pca_truncated.R:111:3', 'test-step_range.R:94:3', 'test-step_ratio.R:88:3', 'test-step_rename.R:77:3', 'test-step_rose.R:20:1', 'test-step_rose.R:83:3', 'test-step_scale.R:77:3', 'test-step_smote.R:20:1', 'test-step_smote.R:83:3', 'test-step_smotenc.R:20:1', 'test-step_smotenc.R:83:3', 'test-step_sqrt.R:77:3', 'test-step_tomek.R:20:1', 'test-step_tomek.R:83:3', 'test-step_unknown.R:97:3', 'test-step_upsample.R:20:1', 'test-step_upsample.R:83:3', 'test-workflows.R:1:1' • empty test (2): 'test-augment.R:31:1', 'test-augment.R:111:1' • is.na(testthat_spark_env_version()) is TRUE (42): 'test-adjust_equivocal_zone.R:113:3', 'test-adjust_numeric_range.R:96:3', 'test-adjust_predictions_custom.R:68:3', 'test-adjust_probability_threshold.R:109:3', 'test-step_adasyn.R:57:3', 'test-step_bin2factor.R:56:3', 'test-step_boxcox.R:54:3', 'test-step_bsmote.R:57:3', 'test-step_center.R:54:3', 'test-step_discretize.R:102:3', 'test-step_downsample.R:57:3', 'test-step_dummy.R:82:3', 'test-step_impute_mean.R:56:3', 'test-step_impute_median.R:57:3', 'test-step_impute_mode.R:63:3', 'test-step_indicate_na.R:59:3', 'test-step_intercept.R:44:3', 'test-step_inverse.R:71:3', 'test-step_lencode_bayes.R:73:3', 'test-step_lencode_glm.R:69:3', 'test-step_lencode_mixed.R:75:3', 'test-step_log.R:71:3', 'test-step_mutate.R:54:3', 'test-step_nearmiss.R:57:3', 'test-step_normalize.R:54:3', 'test-step_novel.R:71:3', 'test-step_other.R:73:3', 'test-step_pca.R:128:3', 'test-step_pca_sparse.R:106:3', 'test-step_pca_sparse_bayes.R:90:3', 'test-step_pca_truncated.R:84:3', 'test-step_range.R:71:3', 'test-step_ratio.R:62:3', 'test-step_rename.R:54:3', 'test-step_rose.R:57:3', 'test-step_scale.R:54:3', 'test-step_smote.R:57:3', 'test-step_smotenc.R:57:3', 'test-step_sqrt.R:54:3', 'test-step_tomek.R:57:3', 'test-step_unknown.R:67:3', 'test-step_upsample.R:57:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-model-xgboost.R:17:3'): boost_tree(), objective = binary:logistic, works with type = class ── Expected `preds` to have names ".pred_class". Differences: `actual`: `expected`: ".pred_class" ── Failure ('test-model-xgboost.R:18:3'): boost_tree(), objective = binary:logistic, works with type = class ── Expected `preds$.pred_class` to have type "character". Actual type: "NULL" ── Failure ('test-model-xgboost.R:20:3'): boost_tree(), objective = binary:logistic, works with type = class ── Expected `preds$.pred_class` to be identical to `as.character(exps$.pred_class)`. Differences: `actual` is NULL `expected` is a character vector ('0', '0', '1', '1', '0', ...) ── Error ('test-model-xgboost.R:35:3'): boost_tree(), objective = binary:logistic, works with type = class ── Error in `build_fit_formula_xgb(parsedmodel)`: Only objectives "binary:logistic", "reg:squarederror", "reg:logistic", "binary:logitraw" are supported yet. Backtrace: ▆ 1. ├─orbital::orbital(bt_fit, type = "class") at test-model-xgboost.R:35:3 2. └─orbital:::orbital.model_fit(bt_fit, type = "class") 3. ├─base::tryCatch(...) 4. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers) 5. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]]) 6. │ └─base (local) doTryCatch(return(expr), name, parentenv, handler) 7. ├─tidypredict::tidypredict_fit(x) 8. └─tidypredict:::tidypredict_fit._xgb.Booster(x) 9. ├─tidypredict::tidypredict_fit(model$fit) 10. └─tidypredict:::tidypredict_fit.xgb.Booster(model$fit) 11. └─tidypredict:::build_fit_formula_xgb(parsedmodel) 12. └─cli::cli_abort("Only objectives {.val binary:logistic}, {.val reg:squarederror},\n {.val reg:logistic}, {.val binary:logitraw} are supported yet.") 13. └─rlang::abort(...) ── Failure ('test-model-xgboost.R:65:3'): boost_tree(), objective = binary:logistic, works with type = prob ── Expected `preds` to have names `c(".pred_0", ".pred_1")`. Differences: `actual`: `expected`: ".pred_0" ".pred_1" ── Failure ('test-model-xgboost.R:66:3'): boost_tree(), objective = binary:logistic, works with type = prob ── Expected `preds$.pred_0` to have type "double". Actual type: "NULL" ── Failure ('test-model-xgboost.R:67:3'): boost_tree(), objective = binary:logistic, works with type = prob ── Expected `preds$.pred_1` to have type "double". Actual type: "NULL" ── Failure ('test-model-xgboost.R:74:3'): boost_tree(), objective = binary:logistic, works with type = prob ── Expected `preds` to equal `exps`. Differences: `actual` is length 0 `expected` is length 2 `names(actual)`: `names(expected)`: ".pred_0" ".pred_1" `actual$.pred_0` is absent `expected$.pred_0` is a double vector (0.536467909812927, 0.536467909812927, 0.100352562963963, 0.209237098693848, 0.94028639793396, ...) `actual$.pred_1` is absent `expected$.pred_1` is a double vector (0.463532090187073, 0.463532090187073, 0.899647437036037, 0.790762901306152, 0.05971360206604, ...) ── Error ('test-model-xgboost.R:90:3'): boost_tree(), objective = binary:logistic, works with type = prob ── Error in `build_fit_formula_xgb(parsedmodel)`: Only objectives "binary:logistic", "reg:squarederror", "reg:logistic", "binary:logitraw" are supported yet. Backtrace: ▆ 1. ├─orbital::orbital(bt_fit, type = "prob") at test-model-xgboost.R:90:3 2. └─orbital:::orbital.model_fit(bt_fit, type = "prob") 3. ├─base::tryCatch(...) 4. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers) 5. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]]) 6. │ └─base (local) doTryCatch(return(expr), name, parentenv, handler) 7. ├─tidypredict::tidypredict_fit(x) 8. └─tidypredict:::tidypredict_fit._xgb.Booster(x) 9. ├─tidypredict::tidypredict_fit(model$fit) 10. └─tidypredict:::tidypredict_fit.xgb.Booster(model$fit) 11. └─tidypredict:::build_fit_formula_xgb(parsedmodel) 12. └─cli::cli_abort("Only objectives {.val binary:logistic}, {.val reg:squarederror},\n {.val reg:logistic}, {.val binary:logitraw} are supported yet.") 13. └─rlang::abort(...) ── Failure ('test-model-xgboost.R:131:3'): boost_tree(), objective = binary:logistic, works with type = c(class, prob) ── Expected `preds` to have names `c(".pred_class", ".pred_0", ".pred_1")`. Differences: `actual`: `expected`: ".pred_class" ".pred_0" ".pred_1" ── Failure ('test-model-xgboost.R:132:3'): boost_tree(), objective = binary:logistic, works with type = c(class, prob) ── Expected `preds$.pred_class` to have type "character". Actual type: "NULL" ── Failure ('test-model-xgboost.R:133:3'): boost_tree(), objective = binary:logistic, works with type = c(class, prob) ── Expected `preds$.pred_0` to have type "double". Actual type: "NULL" ── Failure ('test-model-xgboost.R:134:3'): boost_tree(), objective = binary:logistic, works with type = c(class, prob) ── Expected `preds$.pred_1` to have type "double". Actual type: "NULL" ── Failure ('test-model-xgboost.R:142:3'): boost_tree(), objective = binary:logistic, works with type = c(class, prob) ── Expected `preds` to equal `exps`. Differences: `actual` is length 0 `expected` is length 3 `names(actual)`: `names(expected)`: ".pred_class" ".pred_0" ".pred_1" `actual$.pred_class` is absent `expected$.pred_class` is a character vector ('0', '0', '1', '1', '0', ...) `actual$.pred_0` is absent `expected$.pred_0` is a double vector (0.536467909812927, 0.536467909812927, 0.100352562963963, 0.209237098693848, 0.94028639793396, ...) `actual$.pred_1` is absent `expected$.pred_1` is a double vector (0.463532090187073, 0.463532090187073, 0.899647437036037, 0.790762901306152, 0.05971360206604, ...) ── Error ('test-model-xgboost.R:158:3'): boost_tree(), objective = binary:logistic, works with type = c(class, prob) ── Error in `build_fit_formula_xgb(parsedmodel)`: Only objectives "binary:logistic", "reg:squarederror", "reg:logistic", "binary:logitraw" are supported yet. Backtrace: ▆ 1. ├─orbital::orbital(bt_fit, type = c("class", "prob")) at test-model-xgboost.R:158:3 2. └─orbital:::orbital.model_fit(bt_fit, type = c("class", "prob")) 3. ├─base::tryCatch(...) 4. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers) 5. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]]) 6. │ └─base (local) doTryCatch(return(expr), name, parentenv, handler) 7. ├─tidypredict::tidypredict_fit(x) 8. └─tidypredict:::tidypredict_fit._xgb.Booster(x) 9. ├─tidypredict::tidypredict_fit(model$fit) 10. └─tidypredict:::tidypredict_fit.xgb.Booster(model$fit) 11. └─tidypredict:::build_fit_formula_xgb(parsedmodel) 12. └─cli::cli_abort("Only objectives {.val binary:logistic}, {.val reg:squarederror},\n {.val reg:logistic}, {.val binary:logitraw} are supported yet.") 13. └─rlang::abort(...) [ FAIL 15 | WARN 2 | SKIP 113 | PASS 370 ] Error: ! Test failures. Execution halted
checking for unstated dependencies in vignettes ... OK
checking package vignettes ... OK
checking re-building of vignette outputs ... [4s/4s] OK
checking PDF version of manual ... [1s/1s] OK
DONE Status: 1 ERROR
using check arguments '--no-clean-on-error '