Last updated on 2022-04-24 03:52:31 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.4.4 | 51.27 | 290.32 | 341.59 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 0.4.4 | 39.10 | 206.64 | 245.74 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.4.4 | 417.94 | ERROR | |||
| r-devel-linux-x86_64-fedora-gcc | 0.4.4 | 415.49 | ERROR | |||
| r-patched-linux-x86_64 | 0.4.4 | 53.96 | 271.75 | 325.71 | ERROR | |
| r-release-linux-x86_64 | 0.4.4 | 37.28 | 272.53 | 309.81 | ERROR | |
| r-release-macos-arm64 | 0.4.4 | OK | ||||
| r-release-macos-x86_64 | 0.4.4 | OK | ||||
| r-release-windows-x86_64 | 0.4.4 | 117.00 | 327.00 | 444.00 | ERROR | |
| r-oldrel-macos-arm64 | 0.4.4 | OK | ||||
| r-oldrel-macos-x86_64 | 0.4.4 | OK | ||||
| r-oldrel-windows-ix86+x86_64 | 0.4.4 | 93.00 | 498.00 | 591.00 | ERROR |
clang-ASAN gcc-ASAN M1mac valgrind
Version: 0.4.4
Check: tests
Result: ERROR
Running 'testthat.R' [92s/121s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("checkmate") # for more expect_*() functions
+ library("mlr3proba")
+ test_check("mlr3proba")
+ }
Loading required package: mlr3
[ FAIL 24 | WARN 19 | SKIP 2 | PASS 1724 ]
== Skipped tests ===============================================================
* On CRAN (2)
== Failed tests ================================================================
-- Failure (test_PredictionSurv.R:12:3): Internally constructed Prediction -----
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
x
1. \-global expect_prediction_surv(p) at test_PredictionSurv.R:12:2
2. \-checkmate::expect_class(p$distr, "VectorDistribution")
3. \-checkmate::makeExpectation(x, res, info, label)
-- Error (test_PredictionSurv.R:23:3): c ---------------------------------------
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
Backtrace:
x
1. +-base::do.call(c, preds) at test_PredictionSurv.R:23:2
2. +-base `<fn>`(`<PrdctnSr>`, `<PrdctnSr>`)
3. \-mlr3:::c.Prediction(`<PrdctnSr>`, `<PrdctnSr>`)
4. +-mlr3::as_prediction(pdata, check = FALSE)
5. \-mlr3proba:::as_prediction.PredictionDataSurv(pdata, check = FALSE)
6. +-mlr3misc::invoke(PredictionSurv$new, check = check, .args = x)
7. | \-base::eval.parent(expr, n = 1L)
8. | \-base::eval(expr, p)
9. | \-base::eval(expr, p)
10. \-PredictionSurv$new(...)
11. \-mlr3proba initialize(...)
12. \-mlr3proba:::.__PredictionSurv__initialize(...)
13. \-private$.simplify_distr(distr)
14. \-mlr3proba:::.__PredictionSurv__.simplify_distr(...)
-- Failure (test_PredictionSurv.R:52:3): data.frame roundtrip ------------------
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
x
1. \-global expect_prediction_surv(p2) at test_PredictionSurv.R:52:2
2. \-checkmate::expect_class(p$distr, "VectorDistribution")
3. \-checkmate::makeExpectation(x, res, info, label)
-- Failure (test_PredictionSurv.R:64:3): as_prediction_surv --------------------
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
x
1. \-global expect_prediction_surv(as_prediction_surv(as.data.table(p))) at test_PredictionSurv.R:64:2
2. \-checkmate::expect_class(p$distr, "VectorDistribution")
3. \-checkmate::makeExpectation(x, res, info, label)
-- Failure (test_PredictionSurv.R:70:3): filtering -----------------------------
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
x
1. \-global expect_prediction_surv(p) at test_PredictionSurv.R:70:2
2. \-checkmate::expect_class(p$distr, "VectorDistribution")
3. \-checkmate::makeExpectation(x, res, info, label)
-- Failure (test_mlr_measures.R:33:7): mlr_measures ----------------------------
Check on 'perf' failed: May not be NA
Backtrace:
x
1. \-checkmate::expect_number(perf, na.ok = "na_score" %in% m$properties) at test_mlr_measures.R:33:6
2. \-checkmate::makeExpectation(x, res, info, label)
-- Failure (test_mlr_measures.R:43:3): unintegrated_prob_losses ----------------
`prediction$score(msr)` produced warnings.
-- Failure (test_pipelines.R:11:3): crankcompositor ----------------------------
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
x
1. \-global expect_prediction_surv(p) at test_pipelines.R:11:2
2. \-checkmate::expect_class(p$distr, "VectorDistribution")
3. \-checkmate::makeExpectation(x, res, info, label)
-- Failure (test_pipelines.R:22:3): distrcompositor ----------------------------
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
x
1. \-global expect_prediction_surv(p) at test_pipelines.R:22:2
2. \-checkmate::expect_class(p$distr, "VectorDistribution")
3. \-checkmate::makeExpectation(x, res, info, label)
-- Failure (test_pipelines.R:68:3): survtoregr 1 -------------------------------
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
x
1. \-global expect_prediction_surv(p) at test_pipelines.R:68:2
2. \-checkmate::expect_class(p$distr, "VectorDistribution")
3. \-checkmate::makeExpectation(x, res, info, label)
-- Failure (test_pipelines.R:104:3): survtoregr 3 ------------------------------
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
x
1. \-global expect_prediction_surv(p) at test_pipelines.R:104:2
2. \-checkmate::expect_class(p$distr, "VectorDistribution")
3. \-checkmate::makeExpectation(x, res, info, label)
-- Failure (test_pipeop_crankcompositor.R:12:3): PipeOpCrankCompositor - estimate --
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
x
1. \-global expect_prediction_surv(p) at test_pipeop_crankcompositor.R:12:2
2. \-checkmate::expect_class(p$distr, "VectorDistribution")
3. \-checkmate::makeExpectation(x, res, info, label)
-- Failure (test_pipeop_crankcompositor.R:20:3): no params ---------------------
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
x
1. \-global expect_prediction_surv(p) at test_pipeop_crankcompositor.R:20:2
2. \-checkmate::expect_class(p$distr, "VectorDistribution")
3. \-checkmate::makeExpectation(x, res, info, label)
-- Error (test_pipeop_crankcompositor.R:26:3): response ------------------------
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
This happened PipeOp compose_crank's $predict()
Backtrace:
x
1. +-po$predict(list(lrn("surv.kaplan")$train(task)$predict(task))) at test_pipeop_crankcompositor.R:26:2
2. | \-mlr3pipelines:::.__PipeOp__predict(...)
3. | +-base::withCallingHandlers(...)
4. | \-private$.predict(input)
5. | \-mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
6. | \-PredictionSurv$new(...)
7. | \-mlr3proba initialize(...)
8. | \-mlr3proba:::.__PredictionSurv__initialize(...)
9. | \-private$.simplify_distr(distr)
10. | \-mlr3proba:::.__PredictionSurv__.simplify_distr(...)
11. | \-base::stop("'x' is not a 'VectorDistribution'")
12. \-base::.handleSimpleError(...)
13. \-mlr3pipelines h(simpleError(msg, call))
-- Error (test_pipeop_crankcompositor.R:49:3): overwrite crank -----------------
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
This happened PipeOp compose_crank's $predict()
Backtrace:
x
1. +-pl$train(task)$predict(task) at test_pipeop_crankcompositor.R:49:2
2. | \-mlr3:::.__Learner__predict(...)
3. | \-mlr3:::learner_predict(self, task, row_ids)
4. | \-mlr3misc::encapsulate(...)
5. | +-mlr3misc::invoke(...)
6. | | \-base::eval.parent(expr, n = 1L)
7. | | \-base::eval(expr, p)
8. | | \-base::eval(expr, p)
9. | \-mlr3 .f(task = `<TaskSurv>`, learner = `<GrphLrnr>`)
10. | \-get_private(learner)$.predict(task)
11. | \-mlr3pipelines:::.__GraphLearner__.predict(...)
12. | \-self$graph$predict(task)
13. | \-mlr3pipelines:::.__Graph__predict(...)
14. | \-mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
15. | \-op[[fun]](input)
16. | \-mlr3pipelines:::.__PipeOp__predict(...)
17. | +-base::withCallingHandlers(...)
18. | \-private$.predict(input)
19. | \-mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
20. | \-PredictionSurv$new(...)
21. | \-mlr3proba initialize(...)
22. | \-mlr3proba:::.__PredictionSurv__initialize(...)
23. | \-private$.simplify_distr(distr)
24. | \-mlr3proba:::.__PredictionSurv__.simplify_distr(...)
25. | \-base::stop("'x' is not a 'VectorDistribution'")
26. \-base::.handleSimpleError(...)
27. \-mlr3pipelines h(simpleError(msg, call))
-- Error (test_pipeop_crankcompositor.R:57:3): overwrite response --------------
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
Backtrace:
x
1. \-PredictionSurv$new(...) at test_pipeop_crankcompositor.R:57:2
2. \-mlr3proba initialize(...)
3. \-mlr3proba:::.__PredictionSurv__initialize(...)
4. \-private$.simplify_distr(distr)
5. \-mlr3proba:::.__PredictionSurv__.simplify_distr(...)
-- Error (test_pipeop_crankcompositor.R:76:3): neg crank -----------------------
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
This happened PipeOp compose_crank's $predict()
Backtrace:
x
1. +-pl$train(task)$predict(task) at test_pipeop_crankcompositor.R:76:2
2. | \-mlr3:::.__Learner__predict(...)
3. | \-mlr3:::learner_predict(self, task, row_ids)
4. | \-mlr3misc::encapsulate(...)
5. | +-mlr3misc::invoke(...)
6. | | \-base::eval.parent(expr, n = 1L)
7. | | \-base::eval(expr, p)
8. | | \-base::eval(expr, p)
9. | \-mlr3 .f(task = `<TaskSurv>`, learner = `<GrphLrnr>`)
10. | \-get_private(learner)$.predict(task)
11. | \-mlr3pipelines:::.__GraphLearner__.predict(...)
12. | \-self$graph$predict(task)
13. | \-mlr3pipelines:::.__Graph__predict(...)
14. | \-mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
15. | \-op[[fun]](input)
16. | \-mlr3pipelines:::.__PipeOp__predict(...)
17. | +-base::withCallingHandlers(...)
18. | \-private$.predict(input)
19. | \-mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
20. | \-PredictionSurv$new(...)
21. | \-mlr3proba initialize(...)
22. | \-mlr3proba:::.__PredictionSurv__initialize(...)
23. | \-private$.simplify_distr(distr)
24. | \-mlr3proba:::.__PredictionSurv__.simplify_distr(...)
25. | \-base::stop("'x' is not a 'VectorDistribution'")
26. \-base::.handleSimpleError(...)
27. \-mlr3pipelines h(simpleError(msg, call))
-- Failure (test_pipeop_distrcompositor.R:19:3): PipeOpDistrCompositor - overwrite = TRUE --
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
x
1. \-global expect_prediction_surv(p) at test_pipeop_distrcompositor.R:19:2
2. \-checkmate::expect_class(p$distr, "VectorDistribution")
3. \-checkmate::makeExpectation(x, res, info, label)
-- Failure (test_pipeop_distrcompositor.R:24:3): PipeOpDistrCompositor - overwrite = TRUE --
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
x
1. \-global expect_prediction_surv(gr$train(task)$predict(task)) at test_pipeop_distrcompositor.R:24:2
2. \-checkmate::expect_class(p$distr, "VectorDistribution")
3. \-checkmate::makeExpectation(x, res, info, label)
-- Error (test_pipeop_survavg.R:19:3): equal weights ---------------------------
Error in `p$distr$cdf`: $ operator is invalid for atomic vectors
Backtrace:
x
1. \-testthat::expect_equal(...) at test_pipeop_survavg.R:19:2
2. \-testthat::quasi_label(enquo(object), label, arg = "object")
3. \-rlang::eval_bare(expr, quo_get_env(quo))
-- Error (test_pipeop_survavg.R:33:3): unequal weights -------------------------
Error in `p$distr$cdf`: $ operator is invalid for atomic vectors
Backtrace:
x
1. \-testthat::expect_equal(...) at test_pipeop_survavg.R:33:2
2. \-testthat::quasi_label(enquo(object), label, arg = "object")
3. \-rlang::eval_bare(expr, quo_get_env(quo))
-- Error (test_pipeop_survavg.R:47:3): response --------------------------------
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
This happened PipeOp compose_crank's $predict()
Backtrace:
x
1. +-mlr3pipelines::ppl("crankcompositor", lrn("surv.kaplan"), response = TRUE, ... at test_pipeop_survavg.R:47:2
2. | \-mlr3:::.__Learner__predict(...)
3. | \-mlr3:::learner_predict(self, task, row_ids)
4. | \-mlr3misc::encapsulate(...)
5. | +-mlr3misc::invoke(...)
6. | | \-base::eval.parent(expr, n = 1L)
7. | | \-base::eval(expr, p)
8. | | \-base::eval(expr, p)
9. | \-mlr3 .f(task = `<TaskSurv>`, learner = `<GrphLrnr>`)
10. | \-get_private(learner)$.predict(task)
11. | \-mlr3pipelines:::.__GraphLearner__.predict(...)
12. | \-self$graph$predict(task)
13. | \-mlr3pipelines:::.__Graph__predict(...)
14. | \-mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
15. | \-op[[fun]](input)
16. | \-mlr3pipelines:::.__PipeOp__predict(...)
17. | +-base::withCallingHandlers(...)
18. | \-private$.predict(input)
19. | \-mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
20. | \-PredictionSurv$new(...)
21. | \-mlr3proba initialize(...)
22. | \-mlr3proba:::.__PredictionSurv__initialize(...)
23. | \-private$.simplify_distr(distr)
24. | \-mlr3proba:::.__PredictionSurv__.simplify_distr(...)
25. | \-base::stop("'x' is not a 'VectorDistribution'")
26. \-base::.handleSimpleError(...)
27. \-mlr3pipelines h(simpleError(msg, call))
-- Error (test_pipeop_survavg.R:65:3): surv_averager ---------------------------
Error in `p$distr$cdf`: $ operator is invalid for atomic vectors
Backtrace:
x
1. \-testthat::expect_equal(p$distr$cdf(1:3), p2$distr$cdf(1:3)) at test_pipeop_survavg.R:65:2
2. \-testthat::quasi_label(enquo(object), label, arg = "object")
3. \-rlang::eval_bare(expr, quo_get_env(quo))
-- Error (test_resample.R:9:3): resample-step ----------------------------------
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
Backtrace:
x
1. \-global expect_resample_result(rr) at test_resample.R:9:2
2. +-global expect_prediction(rr$prediction())
3. | \-checkmate::expect_r6(...)
4. | \-checkmate::checkR6(...)
5. \-rr$prediction()
6. \-mlr3:::.__ResampleResult__prediction(...)
7. \-private$.data$prediction(private$.view, predict_sets)
8. \-mlr3:::.__ResultData__prediction(...)
9. +-base::do.call(c, self$predictions(view = view, predict_sets = predict_sets))
10. +-base `<fn>`(`<PrdctnSr>`, `<PrdctnSr>`, `<PrdctnSr>`)
11. \-mlr3:::c.Prediction(`<PrdctnSr>`, `<PrdctnSr>`, `<PrdctnSr>`)
12. +-mlr3::as_prediction(pdata, check = FALSE)
13. \-mlr3proba:::as_prediction.PredictionDataSurv(pdata, check = FALSE)
14. +-mlr3misc::invoke(PredictionSurv$new, check = check, .args = x)
15. | \-base::eval.parent(expr, n = 1L)
16. | \-base::eval(expr, p)
17. | \-base::eval(expr, p)
18. \-PredictionSurv$new(...)
19. \-mlr3proba initialize(...)
20. \-mlr3proba:::.__PredictionSurv__initialize(...)
21. \-private$.simplify_distr(distr)
22. \-mlr3proba:::.__PredictionSurv__.simplify_distr(...)
[ FAIL 24 | WARN 19 | SKIP 2 | PASS 1724 ]
Error: Test failures
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
Version: 0.4.4
Check: tests
Result: ERROR
Running ‘testthat.R’ [61s/103s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("checkmate") # for more expect_*() functions
+ library("mlr3proba")
+ test_check("mlr3proba")
+ }
Loading required package: mlr3
[ FAIL 23 | WARN 19 | SKIP 2 | PASS 1725 ]
══ Skipped tests ═══════════════════════════════════════════════════════════════
• On CRAN (2)
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure (test_PredictionSurv.R:12:3): Internally constructed Prediction ─────
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_PredictionSurv.R:12:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Error (test_PredictionSurv.R:23:3): c ───────────────────────────────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
Backtrace:
▆
1. ├─base::do.call(c, preds) at test_PredictionSurv.R:23:2
2. ├─base `<fn>`(`<PrdctnSr>`, `<PrdctnSr>`)
3. └─mlr3:::c.Prediction(`<PrdctnSr>`, `<PrdctnSr>`)
4. ├─mlr3::as_prediction(pdata, check = FALSE)
5. └─mlr3proba:::as_prediction.PredictionDataSurv(pdata, check = FALSE)
6. ├─mlr3misc::invoke(PredictionSurv$new, check = check, .args = x)
7. │ └─base::eval.parent(expr, n = 1L)
8. │ └─base::eval(expr, p)
9. │ └─base::eval(expr, p)
10. └─PredictionSurv$new(...)
11. └─mlr3proba initialize(...)
12. └─mlr3proba:::.__PredictionSurv__initialize(...)
13. └─private$.simplify_distr(distr)
14. └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
── Failure (test_PredictionSurv.R:52:3): data.frame roundtrip ──────────────────
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p2) at test_PredictionSurv.R:52:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Failure (test_PredictionSurv.R:64:3): as_prediction_surv ────────────────────
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(as_prediction_surv(as.data.table(p))) at test_PredictionSurv.R:64:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Failure (test_PredictionSurv.R:70:3): filtering ─────────────────────────────
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_PredictionSurv.R:70:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Failure (test_mlr_measures.R:43:3): unintegrated_prob_losses ────────────────
`prediction$score(msr)` produced warnings.
── Failure (test_pipelines.R:11:3): crankcompositor ────────────────────────────
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipelines.R:11:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Failure (test_pipelines.R:22:3): distrcompositor ────────────────────────────
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipelines.R:22:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Failure (test_pipelines.R:68:3): survtoregr 1 ───────────────────────────────
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipelines.R:68:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Failure (test_pipelines.R:104:3): survtoregr 3 ──────────────────────────────
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipelines.R:104:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Failure (test_pipeop_crankcompositor.R:12:3): PipeOpCrankCompositor - estimate ──
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipeop_crankcompositor.R:12:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Failure (test_pipeop_crankcompositor.R:20:3): no params ─────────────────────
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipeop_crankcompositor.R:20:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Error (test_pipeop_crankcompositor.R:26:3): response ────────────────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
This happened PipeOp compose_crank's $predict()
Backtrace:
▆
1. ├─po$predict(list(lrn("surv.kaplan")$train(task)$predict(task))) at test_pipeop_crankcompositor.R:26:2
2. │ └─mlr3pipelines:::.__PipeOp__predict(...)
3. │ ├─base::withCallingHandlers(...)
4. │ └─private$.predict(input)
5. │ └─mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
6. │ └─PredictionSurv$new(...)
7. │ └─mlr3proba initialize(...)
8. │ └─mlr3proba:::.__PredictionSurv__initialize(...)
9. │ └─private$.simplify_distr(distr)
10. │ └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
11. │ └─base::stop("'x' is not a 'VectorDistribution'")
12. └─base::.handleSimpleError(...)
13. └─mlr3pipelines h(simpleError(msg, call))
── Error (test_pipeop_crankcompositor.R:49:3): overwrite crank ─────────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
This happened PipeOp compose_crank's $predict()
Backtrace:
▆
1. ├─pl$train(task)$predict(task) at test_pipeop_crankcompositor.R:49:2
2. │ └─mlr3:::.__Learner__predict(...)
3. │ └─mlr3:::learner_predict(self, task, row_ids)
4. │ └─mlr3misc::encapsulate(...)
5. │ ├─mlr3misc::invoke(...)
6. │ │ └─base::eval.parent(expr, n = 1L)
7. │ │ └─base::eval(expr, p)
8. │ │ └─base::eval(expr, p)
9. │ └─mlr3 .f(task = `<TaskSurv>`, learner = `<GrphLrnr>`)
10. │ └─get_private(learner)$.predict(task)
11. │ └─mlr3pipelines:::.__GraphLearner__.predict(...)
12. │ └─self$graph$predict(task)
13. │ └─mlr3pipelines:::.__Graph__predict(...)
14. │ └─mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
15. │ └─op[[fun]](input)
16. │ └─mlr3pipelines:::.__PipeOp__predict(...)
17. │ ├─base::withCallingHandlers(...)
18. │ └─private$.predict(input)
19. │ └─mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
20. │ └─PredictionSurv$new(...)
21. │ └─mlr3proba initialize(...)
22. │ └─mlr3proba:::.__PredictionSurv__initialize(...)
23. │ └─private$.simplify_distr(distr)
24. │ └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
25. │ └─base::stop("'x' is not a 'VectorDistribution'")
26. └─base::.handleSimpleError(...)
27. └─mlr3pipelines h(simpleError(msg, call))
── Error (test_pipeop_crankcompositor.R:57:3): overwrite response ──────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
Backtrace:
▆
1. └─PredictionSurv$new(...) at test_pipeop_crankcompositor.R:57:2
2. └─mlr3proba initialize(...)
3. └─mlr3proba:::.__PredictionSurv__initialize(...)
4. └─private$.simplify_distr(distr)
5. └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
── Error (test_pipeop_crankcompositor.R:76:3): neg crank ───────────────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
This happened PipeOp compose_crank's $predict()
Backtrace:
▆
1. ├─pl$train(task)$predict(task) at test_pipeop_crankcompositor.R:76:2
2. │ └─mlr3:::.__Learner__predict(...)
3. │ └─mlr3:::learner_predict(self, task, row_ids)
4. │ └─mlr3misc::encapsulate(...)
5. │ ├─mlr3misc::invoke(...)
6. │ │ └─base::eval.parent(expr, n = 1L)
7. │ │ └─base::eval(expr, p)
8. │ │ └─base::eval(expr, p)
9. │ └─mlr3 .f(task = `<TaskSurv>`, learner = `<GrphLrnr>`)
10. │ └─get_private(learner)$.predict(task)
11. │ └─mlr3pipelines:::.__GraphLearner__.predict(...)
12. │ └─self$graph$predict(task)
13. │ └─mlr3pipelines:::.__Graph__predict(...)
14. │ └─mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
15. │ └─op[[fun]](input)
16. │ └─mlr3pipelines:::.__PipeOp__predict(...)
17. │ ├─base::withCallingHandlers(...)
18. │ └─private$.predict(input)
19. │ └─mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
20. │ └─PredictionSurv$new(...)
21. │ └─mlr3proba initialize(...)
22. │ └─mlr3proba:::.__PredictionSurv__initialize(...)
23. │ └─private$.simplify_distr(distr)
24. │ └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
25. │ └─base::stop("'x' is not a 'VectorDistribution'")
26. └─base::.handleSimpleError(...)
27. └─mlr3pipelines h(simpleError(msg, call))
── Failure (test_pipeop_distrcompositor.R:19:3): PipeOpDistrCompositor - overwrite = TRUE ──
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipeop_distrcompositor.R:19:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Failure (test_pipeop_distrcompositor.R:24:3): PipeOpDistrCompositor - overwrite = TRUE ──
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(gr$train(task)$predict(task)) at test_pipeop_distrcompositor.R:24:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Error (test_pipeop_survavg.R:19:3): equal weights ───────────────────────────
Error in `p$distr$cdf`: $ operator is invalid for atomic vectors
Backtrace:
▆
1. └─testthat::expect_equal(...) at test_pipeop_survavg.R:19:2
2. └─testthat::quasi_label(enquo(object), label, arg = "object")
3. └─rlang::eval_bare(expr, quo_get_env(quo))
── Error (test_pipeop_survavg.R:33:3): unequal weights ─────────────────────────
Error in `p$distr$cdf`: $ operator is invalid for atomic vectors
Backtrace:
▆
1. └─testthat::expect_equal(...) at test_pipeop_survavg.R:33:2
2. └─testthat::quasi_label(enquo(object), label, arg = "object")
3. └─rlang::eval_bare(expr, quo_get_env(quo))
── Error (test_pipeop_survavg.R:47:3): response ────────────────────────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
This happened PipeOp compose_crank's $predict()
Backtrace:
▆
1. ├─mlr3pipelines::ppl("crankcompositor", lrn("surv.kaplan"), response = TRUE, ... at test_pipeop_survavg.R:47:2
2. │ └─mlr3:::.__Learner__predict(...)
3. │ └─mlr3:::learner_predict(self, task, row_ids)
4. │ └─mlr3misc::encapsulate(...)
5. │ ├─mlr3misc::invoke(...)
6. │ │ └─base::eval.parent(expr, n = 1L)
7. │ │ └─base::eval(expr, p)
8. │ │ └─base::eval(expr, p)
9. │ └─mlr3 .f(task = `<TaskSurv>`, learner = `<GrphLrnr>`)
10. │ └─get_private(learner)$.predict(task)
11. │ └─mlr3pipelines:::.__GraphLearner__.predict(...)
12. │ └─self$graph$predict(task)
13. │ └─mlr3pipelines:::.__Graph__predict(...)
14. │ └─mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
15. │ └─op[[fun]](input)
16. │ └─mlr3pipelines:::.__PipeOp__predict(...)
17. │ ├─base::withCallingHandlers(...)
18. │ └─private$.predict(input)
19. │ └─mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
20. │ └─PredictionSurv$new(...)
21. │ └─mlr3proba initialize(...)
22. │ └─mlr3proba:::.__PredictionSurv__initialize(...)
23. │ └─private$.simplify_distr(distr)
24. │ └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
25. │ └─base::stop("'x' is not a 'VectorDistribution'")
26. └─base::.handleSimpleError(...)
27. └─mlr3pipelines h(simpleError(msg, call))
── Error (test_pipeop_survavg.R:65:3): surv_averager ───────────────────────────
Error in `p$distr$cdf`: $ operator is invalid for atomic vectors
Backtrace:
▆
1. └─testthat::expect_equal(p$distr$cdf(1:3), p2$distr$cdf(1:3)) at test_pipeop_survavg.R:65:2
2. └─testthat::quasi_label(enquo(object), label, arg = "object")
3. └─rlang::eval_bare(expr, quo_get_env(quo))
── Error (test_resample.R:9:3): resample-step ──────────────────────────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
Backtrace:
▆
1. └─global expect_resample_result(rr) at test_resample.R:9:2
2. ├─global expect_prediction(rr$prediction())
3. │ └─checkmate::expect_r6(...)
4. │ └─checkmate::checkR6(...)
5. └─rr$prediction()
6. └─mlr3:::.__ResampleResult__prediction(...)
7. └─private$.data$prediction(private$.view, predict_sets)
8. └─mlr3:::.__ResultData__prediction(...)
9. ├─base::do.call(c, self$predictions(view = view, predict_sets = predict_sets))
10. ├─base `<fn>`(`<PrdctnSr>`, `<PrdctnSr>`, `<PrdctnSr>`)
11. └─mlr3:::c.Prediction(`<PrdctnSr>`, `<PrdctnSr>`, `<PrdctnSr>`)
12. ├─mlr3::as_prediction(pdata, check = FALSE)
13. └─mlr3proba:::as_prediction.PredictionDataSurv(pdata, check = FALSE)
14. ├─mlr3misc::invoke(PredictionSurv$new, check = check, .args = x)
15. │ └─base::eval.parent(expr, n = 1L)
16. │ └─base::eval(expr, p)
17. │ └─base::eval(expr, p)
18. └─PredictionSurv$new(...)
19. └─mlr3proba initialize(...)
20. └─mlr3proba:::.__PredictionSurv__initialize(...)
21. └─private$.simplify_distr(distr)
22. └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
[ FAIL 23 | WARN 19 | SKIP 2 | PASS 1725 ]
Error: Test failures
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.4.4
Check: tests
Result: ERROR
Running ‘testthat.R’ [106s/256s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("checkmate") # for more expect_*() functions
+ library("mlr3proba")
+ test_check("mlr3proba")
+ }
Loading required package: mlr3
[ FAIL 23 | WARN 19 | SKIP 2 | PASS 1725 ]
══ Skipped tests ═══════════════════════════════════════════════════════════════
• On CRAN (2)
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure (test_PredictionSurv.R:12:3): Internally constructed Prediction ─────
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_PredictionSurv.R:12:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Error (test_PredictionSurv.R:23:3): c ───────────────────────────────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
Backtrace:
▆
1. ├─base::do.call(c, preds) at test_PredictionSurv.R:23:2
2. ├─base `<fn>`(`<PrdctnSr>`, `<PrdctnSr>`)
3. └─mlr3:::c.Prediction(`<PrdctnSr>`, `<PrdctnSr>`)
4. ├─mlr3::as_prediction(pdata, check = FALSE)
5. └─mlr3proba:::as_prediction.PredictionDataSurv(pdata, check = FALSE)
6. ├─mlr3misc::invoke(PredictionSurv$new, check = check, .args = x)
7. │ └─base::eval.parent(expr, n = 1L)
8. │ └─base::eval(expr, p)
9. │ └─base::eval(expr, p)
10. └─PredictionSurv$new(...)
11. └─mlr3proba initialize(...)
12. └─mlr3proba:::.__PredictionSurv__initialize(...)
13. └─private$.simplify_distr(distr)
14. └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
── Failure (test_PredictionSurv.R:52:3): data.frame roundtrip ──────────────────
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p2) at test_PredictionSurv.R:52:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Failure (test_PredictionSurv.R:64:3): as_prediction_surv ────────────────────
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(as_prediction_surv(as.data.table(p))) at test_PredictionSurv.R:64:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Failure (test_PredictionSurv.R:70:3): filtering ─────────────────────────────
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_PredictionSurv.R:70:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Failure (test_mlr_measures.R:43:3): unintegrated_prob_losses ────────────────
`prediction$score(msr)` produced warnings.
── Failure (test_pipelines.R:11:3): crankcompositor ────────────────────────────
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipelines.R:11:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Failure (test_pipelines.R:22:3): distrcompositor ────────────────────────────
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipelines.R:22:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Failure (test_pipelines.R:68:3): survtoregr 1 ───────────────────────────────
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipelines.R:68:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Failure (test_pipelines.R:104:3): survtoregr 3 ──────────────────────────────
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipelines.R:104:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Failure (test_pipeop_crankcompositor.R:12:3): PipeOpCrankCompositor - estimate ──
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipeop_crankcompositor.R:12:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Failure (test_pipeop_crankcompositor.R:20:3): no params ─────────────────────
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipeop_crankcompositor.R:20:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Error (test_pipeop_crankcompositor.R:26:3): response ────────────────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
This happened PipeOp compose_crank's $predict()
Backtrace:
▆
1. ├─po$predict(list(lrn("surv.kaplan")$train(task)$predict(task))) at test_pipeop_crankcompositor.R:26:2
2. │ └─mlr3pipelines:::.__PipeOp__predict(...)
3. │ ├─base::withCallingHandlers(...)
4. │ └─private$.predict(input)
5. │ └─mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
6. │ └─PredictionSurv$new(...)
7. │ └─mlr3proba initialize(...)
8. │ └─mlr3proba:::.__PredictionSurv__initialize(...)
9. │ └─private$.simplify_distr(distr)
10. │ └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
11. │ └─base::stop("'x' is not a 'VectorDistribution'")
12. └─base::.handleSimpleError(...)
13. └─mlr3pipelines h(simpleError(msg, call))
── Error (test_pipeop_crankcompositor.R:49:3): overwrite crank ─────────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
This happened PipeOp compose_crank's $predict()
Backtrace:
▆
1. ├─pl$train(task)$predict(task) at test_pipeop_crankcompositor.R:49:2
2. │ └─mlr3:::.__Learner__predict(...)
3. │ └─mlr3:::learner_predict(self, task, row_ids)
4. │ └─mlr3misc::encapsulate(...)
5. │ ├─mlr3misc::invoke(...)
6. │ │ └─base::eval.parent(expr, n = 1L)
7. │ │ └─base::eval(expr, p)
8. │ │ └─base::eval(expr, p)
9. │ └─mlr3 .f(task = `<TaskSurv>`, learner = `<GrphLrnr>`)
10. │ └─get_private(learner)$.predict(task)
11. │ └─mlr3pipelines:::.__GraphLearner__.predict(...)
12. │ └─self$graph$predict(task)
13. │ └─mlr3pipelines:::.__Graph__predict(...)
14. │ └─mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
15. │ └─op[[fun]](input)
16. │ └─mlr3pipelines:::.__PipeOp__predict(...)
17. │ ├─base::withCallingHandlers(...)
18. │ └─private$.predict(input)
19. │ └─mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
20. │ └─PredictionSurv$new(...)
21. │ └─mlr3proba initialize(...)
22. │ └─mlr3proba:::.__PredictionSurv__initialize(...)
23. │ └─private$.simplify_distr(distr)
24. │ └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
25. │ └─base::stop("'x' is not a 'VectorDistribution'")
26. └─base::.handleSimpleError(...)
27. └─mlr3pipelines h(simpleError(msg, call))
── Error (test_pipeop_crankcompositor.R:57:3): overwrite response ──────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
Backtrace:
▆
1. └─PredictionSurv$new(...) at test_pipeop_crankcompositor.R:57:2
2. └─mlr3proba initialize(...)
3. └─mlr3proba:::.__PredictionSurv__initialize(...)
4. └─private$.simplify_distr(distr)
5. └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
── Error (test_pipeop_crankcompositor.R:76:3): neg crank ───────────────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
This happened PipeOp compose_crank's $predict()
Backtrace:
▆
1. ├─pl$train(task)$predict(task) at test_pipeop_crankcompositor.R:76:2
2. │ └─mlr3:::.__Learner__predict(...)
3. │ └─mlr3:::learner_predict(self, task, row_ids)
4. │ └─mlr3misc::encapsulate(...)
5. │ ├─mlr3misc::invoke(...)
6. │ │ └─base::eval.parent(expr, n = 1L)
7. │ │ └─base::eval(expr, p)
8. │ │ └─base::eval(expr, p)
9. │ └─mlr3 .f(task = `<TaskSurv>`, learner = `<GrphLrnr>`)
10. │ └─get_private(learner)$.predict(task)
11. │ └─mlr3pipelines:::.__GraphLearner__.predict(...)
12. │ └─self$graph$predict(task)
13. │ └─mlr3pipelines:::.__Graph__predict(...)
14. │ └─mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
15. │ └─op[[fun]](input)
16. │ └─mlr3pipelines:::.__PipeOp__predict(...)
17. │ ├─base::withCallingHandlers(...)
18. │ └─private$.predict(input)
19. │ └─mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
20. │ └─PredictionSurv$new(...)
21. │ └─mlr3proba initialize(...)
22. │ └─mlr3proba:::.__PredictionSurv__initialize(...)
23. │ └─private$.simplify_distr(distr)
24. │ └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
25. │ └─base::stop("'x' is not a 'VectorDistribution'")
26. └─base::.handleSimpleError(...)
27. └─mlr3pipelines h(simpleError(msg, call))
── Failure (test_pipeop_distrcompositor.R:19:3): PipeOpDistrCompositor - overwrite = TRUE ──
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipeop_distrcompositor.R:19:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Failure (test_pipeop_distrcompositor.R:24:3): PipeOpDistrCompositor - overwrite = TRUE ──
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(gr$train(task)$predict(task)) at test_pipeop_distrcompositor.R:24:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Error (test_pipeop_survavg.R:19:3): equal weights ───────────────────────────
Error in `p$distr$cdf`: $ operator is invalid for atomic vectors
Backtrace:
▆
1. └─testthat::expect_equal(...) at test_pipeop_survavg.R:19:2
2. └─testthat::quasi_label(enquo(object), label, arg = "object")
3. └─rlang::eval_bare(expr, quo_get_env(quo))
── Error (test_pipeop_survavg.R:33:3): unequal weights ─────────────────────────
Error in `p$distr$cdf`: $ operator is invalid for atomic vectors
Backtrace:
▆
1. └─testthat::expect_equal(...) at test_pipeop_survavg.R:33:2
2. └─testthat::quasi_label(enquo(object), label, arg = "object")
3. └─rlang::eval_bare(expr, quo_get_env(quo))
── Error (test_pipeop_survavg.R:47:3): response ────────────────────────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
This happened PipeOp compose_crank's $predict()
Backtrace:
▆
1. ├─mlr3pipelines::ppl("crankcompositor", lrn("surv.kaplan"), response = TRUE, ... at test_pipeop_survavg.R:47:2
2. │ └─mlr3:::.__Learner__predict(...)
3. │ └─mlr3:::learner_predict(self, task, row_ids)
4. │ └─mlr3misc::encapsulate(...)
5. │ ├─mlr3misc::invoke(...)
6. │ │ └─base::eval.parent(expr, n = 1L)
7. │ │ └─base::eval(expr, p)
8. │ │ └─base::eval(expr, p)
9. │ └─mlr3 .f(task = `<TaskSurv>`, learner = `<GrphLrnr>`)
10. │ └─get_private(learner)$.predict(task)
11. │ └─mlr3pipelines:::.__GraphLearner__.predict(...)
12. │ └─self$graph$predict(task)
13. │ └─mlr3pipelines:::.__Graph__predict(...)
14. │ └─mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
15. │ └─op[[fun]](input)
16. │ └─mlr3pipelines:::.__PipeOp__predict(...)
17. │ ├─base::withCallingHandlers(...)
18. │ └─private$.predict(input)
19. │ └─mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
20. │ └─PredictionSurv$new(...)
21. │ └─mlr3proba initialize(...)
22. │ └─mlr3proba:::.__PredictionSurv__initialize(...)
23. │ └─private$.simplify_distr(distr)
24. │ └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
25. │ └─base::stop("'x' is not a 'VectorDistribution'")
26. └─base::.handleSimpleError(...)
27. └─mlr3pipelines h(simpleError(msg, call))
── Error (test_pipeop_survavg.R:65:3): surv_averager ───────────────────────────
Error in `p$distr$cdf`: $ operator is invalid for atomic vectors
Backtrace:
▆
1. └─testthat::expect_equal(p$distr$cdf(1:3), p2$distr$cdf(1:3)) at test_pipeop_survavg.R:65:2
2. └─testthat::quasi_label(enquo(object), label, arg = "object")
3. └─rlang::eval_bare(expr, quo_get_env(quo))
── Error (test_resample.R:9:3): resample-step ──────────────────────────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
Backtrace:
▆
1. └─global expect_resample_result(rr) at test_resample.R:9:2
2. ├─global expect_prediction(rr$prediction())
3. │ └─checkmate::expect_r6(...)
4. │ └─checkmate::checkR6(...)
5. └─rr$prediction()
6. └─mlr3:::.__ResampleResult__prediction(...)
7. └─private$.data$prediction(private$.view, predict_sets)
8. └─mlr3:::.__ResultData__prediction(...)
9. ├─base::do.call(c, self$predictions(view = view, predict_sets = predict_sets))
10. ├─base `<fn>`(`<PrdctnSr>`, `<PrdctnSr>`, `<PrdctnSr>`)
11. └─mlr3:::c.Prediction(`<PrdctnSr>`, `<PrdctnSr>`, `<PrdctnSr>`)
12. ├─mlr3::as_prediction(pdata, check = FALSE)
13. └─mlr3proba:::as_prediction.PredictionDataSurv(pdata, check = FALSE)
14. ├─mlr3misc::invoke(PredictionSurv$new, check = check, .args = x)
15. │ └─base::eval.parent(expr, n = 1L)
16. │ └─base::eval(expr, p)
17. │ └─base::eval(expr, p)
18. └─PredictionSurv$new(...)
19. └─mlr3proba initialize(...)
20. └─mlr3proba:::.__PredictionSurv__initialize(...)
21. └─private$.simplify_distr(distr)
22. └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
[ FAIL 23 | WARN 19 | SKIP 2 | PASS 1725 ]
Error: Test failures
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 0.4.4
Check: tests
Result: ERROR
Running ‘testthat.R’ [109s/431s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("checkmate") # for more expect_*() functions
+ library("mlr3proba")
+ test_check("mlr3proba")
+ }
Loading required package: mlr3
[ FAIL 23 | WARN 19 | SKIP 2 | PASS 1725 ]
══ Skipped tests ═══════════════════════════════════════════════════════════════
• On CRAN (2)
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure (test_PredictionSurv.R:12:3): Internally constructed Prediction ─────
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_PredictionSurv.R:12:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Error (test_PredictionSurv.R:23:3): c ───────────────────────────────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
Backtrace:
▆
1. ├─base::do.call(c, preds) at test_PredictionSurv.R:23:2
2. ├─base `<fn>`(`<PrdctnSr>`, `<PrdctnSr>`)
3. └─mlr3:::c.Prediction(`<PrdctnSr>`, `<PrdctnSr>`)
4. ├─mlr3::as_prediction(pdata, check = FALSE)
5. └─mlr3proba:::as_prediction.PredictionDataSurv(pdata, check = FALSE)
6. ├─mlr3misc::invoke(PredictionSurv$new, check = check, .args = x)
7. │ └─base::eval.parent(expr, n = 1L)
8. │ └─base::eval(expr, p)
9. │ └─base::eval(expr, p)
10. └─PredictionSurv$new(...)
11. └─mlr3proba initialize(...)
12. └─mlr3proba:::.__PredictionSurv__initialize(...)
13. └─private$.simplify_distr(distr)
14. └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
── Failure (test_PredictionSurv.R:52:3): data.frame roundtrip ──────────────────
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p2) at test_PredictionSurv.R:52:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Failure (test_PredictionSurv.R:64:3): as_prediction_surv ────────────────────
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(as_prediction_surv(as.data.table(p))) at test_PredictionSurv.R:64:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Failure (test_PredictionSurv.R:70:3): filtering ─────────────────────────────
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_PredictionSurv.R:70:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Failure (test_mlr_measures.R:43:3): unintegrated_prob_losses ────────────────
`prediction$score(msr)` produced warnings.
── Failure (test_pipelines.R:11:3): crankcompositor ────────────────────────────
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipelines.R:11:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Failure (test_pipelines.R:22:3): distrcompositor ────────────────────────────
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipelines.R:22:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Failure (test_pipelines.R:68:3): survtoregr 1 ───────────────────────────────
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipelines.R:68:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Failure (test_pipelines.R:104:3): survtoregr 3 ──────────────────────────────
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipelines.R:104:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Failure (test_pipeop_crankcompositor.R:12:3): PipeOpCrankCompositor - estimate ──
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipeop_crankcompositor.R:12:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Failure (test_pipeop_crankcompositor.R:20:3): no params ─────────────────────
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipeop_crankcompositor.R:20:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Error (test_pipeop_crankcompositor.R:26:3): response ────────────────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
This happened PipeOp compose_crank's $predict()
Backtrace:
▆
1. ├─po$predict(list(lrn("surv.kaplan")$train(task)$predict(task))) at test_pipeop_crankcompositor.R:26:2
2. │ └─mlr3pipelines:::.__PipeOp__predict(...)
3. │ ├─base::withCallingHandlers(...)
4. │ └─private$.predict(input)
5. │ └─mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
6. │ └─PredictionSurv$new(...)
7. │ └─mlr3proba initialize(...)
8. │ └─mlr3proba:::.__PredictionSurv__initialize(...)
9. │ └─private$.simplify_distr(distr)
10. │ └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
11. │ └─base::stop("'x' is not a 'VectorDistribution'")
12. └─base::.handleSimpleError(...)
13. └─mlr3pipelines h(simpleError(msg, call))
── Error (test_pipeop_crankcompositor.R:49:3): overwrite crank ─────────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
This happened PipeOp compose_crank's $predict()
Backtrace:
▆
1. ├─pl$train(task)$predict(task) at test_pipeop_crankcompositor.R:49:2
2. │ └─mlr3:::.__Learner__predict(...)
3. │ └─mlr3:::learner_predict(self, task, row_ids)
4. │ └─mlr3misc::encapsulate(...)
5. │ ├─mlr3misc::invoke(...)
6. │ │ └─base::eval.parent(expr, n = 1L)
7. │ │ └─base::eval(expr, p)
8. │ │ └─base::eval(expr, p)
9. │ └─mlr3 .f(task = `<TaskSurv>`, learner = `<GrphLrnr>`)
10. │ └─get_private(learner)$.predict(task)
11. │ └─mlr3pipelines:::.__GraphLearner__.predict(...)
12. │ └─self$graph$predict(task)
13. │ └─mlr3pipelines:::.__Graph__predict(...)
14. │ └─mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
15. │ └─op[[fun]](input)
16. │ └─mlr3pipelines:::.__PipeOp__predict(...)
17. │ ├─base::withCallingHandlers(...)
18. │ └─private$.predict(input)
19. │ └─mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
20. │ └─PredictionSurv$new(...)
21. │ └─mlr3proba initialize(...)
22. │ └─mlr3proba:::.__PredictionSurv__initialize(...)
23. │ └─private$.simplify_distr(distr)
24. │ └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
25. │ └─base::stop("'x' is not a 'VectorDistribution'")
26. └─base::.handleSimpleError(...)
27. └─mlr3pipelines h(simpleError(msg, call))
── Error (test_pipeop_crankcompositor.R:57:3): overwrite response ──────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
Backtrace:
▆
1. └─PredictionSurv$new(...) at test_pipeop_crankcompositor.R:57:2
2. └─mlr3proba initialize(...)
3. └─mlr3proba:::.__PredictionSurv__initialize(...)
4. └─private$.simplify_distr(distr)
5. └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
── Error (test_pipeop_crankcompositor.R:76:3): neg crank ───────────────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
This happened PipeOp compose_crank's $predict()
Backtrace:
▆
1. ├─pl$train(task)$predict(task) at test_pipeop_crankcompositor.R:76:2
2. │ └─mlr3:::.__Learner__predict(...)
3. │ └─mlr3:::learner_predict(self, task, row_ids)
4. │ └─mlr3misc::encapsulate(...)
5. │ ├─mlr3misc::invoke(...)
6. │ │ └─base::eval.parent(expr, n = 1L)
7. │ │ └─base::eval(expr, p)
8. │ │ └─base::eval(expr, p)
9. │ └─mlr3 .f(task = `<TaskSurv>`, learner = `<GrphLrnr>`)
10. │ └─get_private(learner)$.predict(task)
11. │ └─mlr3pipelines:::.__GraphLearner__.predict(...)
12. │ └─self$graph$predict(task)
13. │ └─mlr3pipelines:::.__Graph__predict(...)
14. │ └─mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
15. │ └─op[[fun]](input)
16. │ └─mlr3pipelines:::.__PipeOp__predict(...)
17. │ ├─base::withCallingHandlers(...)
18. │ └─private$.predict(input)
19. │ └─mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
20. │ └─PredictionSurv$new(...)
21. │ └─mlr3proba initialize(...)
22. │ └─mlr3proba:::.__PredictionSurv__initialize(...)
23. │ └─private$.simplify_distr(distr)
24. │ └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
25. │ └─base::stop("'x' is not a 'VectorDistribution'")
26. └─base::.handleSimpleError(...)
27. └─mlr3pipelines h(simpleError(msg, call))
── Failure (test_pipeop_distrcompositor.R:19:3): PipeOpDistrCompositor - overwrite = TRUE ──
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipeop_distrcompositor.R:19:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Failure (test_pipeop_distrcompositor.R:24:3): PipeOpDistrCompositor - overwrite = TRUE ──
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(gr$train(task)$predict(task)) at test_pipeop_distrcompositor.R:24:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Error (test_pipeop_survavg.R:19:3): equal weights ───────────────────────────
Error in `p$distr$cdf`: $ operator is invalid for atomic vectors
Backtrace:
▆
1. └─testthat::expect_equal(...) at test_pipeop_survavg.R:19:2
2. └─testthat::quasi_label(enquo(object), label, arg = "object")
3. └─rlang::eval_bare(expr, quo_get_env(quo))
── Error (test_pipeop_survavg.R:33:3): unequal weights ─────────────────────────
Error in `p$distr$cdf`: $ operator is invalid for atomic vectors
Backtrace:
▆
1. └─testthat::expect_equal(...) at test_pipeop_survavg.R:33:2
2. └─testthat::quasi_label(enquo(object), label, arg = "object")
3. └─rlang::eval_bare(expr, quo_get_env(quo))
── Error (test_pipeop_survavg.R:47:3): response ────────────────────────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
This happened PipeOp compose_crank's $predict()
Backtrace:
▆
1. ├─mlr3pipelines::ppl("crankcompositor", lrn("surv.kaplan"), response = TRUE, ... at test_pipeop_survavg.R:47:2
2. │ └─mlr3:::.__Learner__predict(...)
3. │ └─mlr3:::learner_predict(self, task, row_ids)
4. │ └─mlr3misc::encapsulate(...)
5. │ ├─mlr3misc::invoke(...)
6. │ │ └─base::eval.parent(expr, n = 1L)
7. │ │ └─base::eval(expr, p)
8. │ │ └─base::eval(expr, p)
9. │ └─mlr3 .f(task = `<TaskSurv>`, learner = `<GrphLrnr>`)
10. │ └─get_private(learner)$.predict(task)
11. │ └─mlr3pipelines:::.__GraphLearner__.predict(...)
12. │ └─self$graph$predict(task)
13. │ └─mlr3pipelines:::.__Graph__predict(...)
14. │ └─mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
15. │ └─op[[fun]](input)
16. │ └─mlr3pipelines:::.__PipeOp__predict(...)
17. │ ├─base::withCallingHandlers(...)
18. │ └─private$.predict(input)
19. │ └─mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
20. │ └─PredictionSurv$new(...)
21. │ └─mlr3proba initialize(...)
22. │ └─mlr3proba:::.__PredictionSurv__initialize(...)
23. │ └─private$.simplify_distr(distr)
24. │ └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
25. │ └─base::stop("'x' is not a 'VectorDistribution'")
26. └─base::.handleSimpleError(...)
27. └─mlr3pipelines h(simpleError(msg, call))
── Error (test_pipeop_survavg.R:65:3): surv_averager ───────────────────────────
Error in `p$distr$cdf`: $ operator is invalid for atomic vectors
Backtrace:
▆
1. └─testthat::expect_equal(p$distr$cdf(1:3), p2$distr$cdf(1:3)) at test_pipeop_survavg.R:65:2
2. └─testthat::quasi_label(enquo(object), label, arg = "object")
3. └─rlang::eval_bare(expr, quo_get_env(quo))
── Error (test_resample.R:9:3): resample-step ──────────────────────────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
Backtrace:
▆
1. └─global expect_resample_result(rr) at test_resample.R:9:2
2. ├─global expect_prediction(rr$prediction())
3. │ └─checkmate::expect_r6(...)
4. │ └─checkmate::checkR6(...)
5. └─rr$prediction()
6. └─mlr3:::.__ResampleResult__prediction(...)
7. └─private$.data$prediction(private$.view, predict_sets)
8. └─mlr3:::.__ResultData__prediction(...)
9. ├─base::do.call(c, self$predictions(view = view, predict_sets = predict_sets))
10. ├─base `<fn>`(`<PrdctnSr>`, `<PrdctnSr>`, `<PrdctnSr>`)
11. └─mlr3:::c.Prediction(`<PrdctnSr>`, `<PrdctnSr>`, `<PrdctnSr>`)
12. ├─mlr3::as_prediction(pdata, check = FALSE)
13. └─mlr3proba:::as_prediction.PredictionDataSurv(pdata, check = FALSE)
14. ├─mlr3misc::invoke(PredictionSurv$new, check = check, .args = x)
15. │ └─base::eval.parent(expr, n = 1L)
16. │ └─base::eval(expr, p)
17. │ └─base::eval(expr, p)
18. └─PredictionSurv$new(...)
19. └─mlr3proba initialize(...)
20. └─mlr3proba:::.__PredictionSurv__initialize(...)
21. └─private$.simplify_distr(distr)
22. └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
[ FAIL 23 | WARN 19 | SKIP 2 | PASS 1725 ]
Error: Test failures
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 0.4.4
Check: tests
Result: ERROR
Running ‘testthat.R’ [86s/108s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("checkmate") # for more expect_*() functions
+ library("mlr3proba")
+ test_check("mlr3proba")
+ }
Loading required package: mlr3
[ FAIL 23 | WARN 19 | SKIP 2 | PASS 1725 ]
══ Skipped tests ═══════════════════════════════════════════════════════════════
• On CRAN (2)
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure (test_PredictionSurv.R:12:3): Internally constructed Prediction ─────
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_PredictionSurv.R:12:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Error (test_PredictionSurv.R:23:3): c ───────────────────────────────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
Backtrace:
▆
1. ├─base::do.call(c, preds) at test_PredictionSurv.R:23:2
2. ├─base `<fn>`(`<PrdctnSr>`, `<PrdctnSr>`)
3. └─mlr3:::c.Prediction(`<PrdctnSr>`, `<PrdctnSr>`)
4. ├─mlr3::as_prediction(pdata, check = FALSE)
5. └─mlr3proba:::as_prediction.PredictionDataSurv(pdata, check = FALSE)
6. ├─mlr3misc::invoke(PredictionSurv$new, check = check, .args = x)
7. │ └─base::eval.parent(expr, n = 1L)
8. │ └─base::eval(expr, p)
9. │ └─base::eval(expr, p)
10. └─PredictionSurv$new(...)
11. └─mlr3proba initialize(...)
12. └─mlr3proba:::.__PredictionSurv__initialize(...)
13. └─private$.simplify_distr(distr)
14. └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
── Failure (test_PredictionSurv.R:52:3): data.frame roundtrip ──────────────────
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p2) at test_PredictionSurv.R:52:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Failure (test_PredictionSurv.R:64:3): as_prediction_surv ────────────────────
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(as_prediction_surv(as.data.table(p))) at test_PredictionSurv.R:64:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Failure (test_PredictionSurv.R:70:3): filtering ─────────────────────────────
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_PredictionSurv.R:70:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Failure (test_mlr_measures.R:43:3): unintegrated_prob_losses ────────────────
`prediction$score(msr)` produced warnings.
── Failure (test_pipelines.R:11:3): crankcompositor ────────────────────────────
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipelines.R:11:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Failure (test_pipelines.R:22:3): distrcompositor ────────────────────────────
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipelines.R:22:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Failure (test_pipelines.R:68:3): survtoregr 1 ───────────────────────────────
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipelines.R:68:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Failure (test_pipelines.R:104:3): survtoregr 3 ──────────────────────────────
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipelines.R:104:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Failure (test_pipeop_crankcompositor.R:12:3): PipeOpCrankCompositor - estimate ──
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipeop_crankcompositor.R:12:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Failure (test_pipeop_crankcompositor.R:20:3): no params ─────────────────────
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipeop_crankcompositor.R:20:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Error (test_pipeop_crankcompositor.R:26:3): response ────────────────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
This happened PipeOp compose_crank's $predict()
Backtrace:
▆
1. ├─po$predict(list(lrn("surv.kaplan")$train(task)$predict(task))) at test_pipeop_crankcompositor.R:26:2
2. │ └─mlr3pipelines:::.__PipeOp__predict(...)
3. │ ├─base::withCallingHandlers(...)
4. │ └─private$.predict(input)
5. │ └─mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
6. │ └─PredictionSurv$new(...)
7. │ └─mlr3proba initialize(...)
8. │ └─mlr3proba:::.__PredictionSurv__initialize(...)
9. │ └─private$.simplify_distr(distr)
10. │ └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
11. │ └─base::stop("'x' is not a 'VectorDistribution'")
12. └─base::.handleSimpleError(...)
13. └─mlr3pipelines h(simpleError(msg, call))
── Error (test_pipeop_crankcompositor.R:49:3): overwrite crank ─────────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
This happened PipeOp compose_crank's $predict()
Backtrace:
▆
1. ├─pl$train(task)$predict(task) at test_pipeop_crankcompositor.R:49:2
2. │ └─mlr3:::.__Learner__predict(...)
3. │ └─mlr3:::learner_predict(self, task, row_ids)
4. │ └─mlr3misc::encapsulate(...)
5. │ ├─mlr3misc::invoke(...)
6. │ │ └─base::eval.parent(expr, n = 1L)
7. │ │ └─base::eval(expr, p)
8. │ │ └─base::eval(expr, p)
9. │ └─mlr3 .f(task = `<TaskSurv>`, learner = `<GrphLrnr>`)
10. │ └─get_private(learner)$.predict(task)
11. │ └─mlr3pipelines:::.__GraphLearner__.predict(...)
12. │ └─self$graph$predict(task)
13. │ └─mlr3pipelines:::.__Graph__predict(...)
14. │ └─mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
15. │ └─op[[fun]](input)
16. │ └─mlr3pipelines:::.__PipeOp__predict(...)
17. │ ├─base::withCallingHandlers(...)
18. │ └─private$.predict(input)
19. │ └─mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
20. │ └─PredictionSurv$new(...)
21. │ └─mlr3proba initialize(...)
22. │ └─mlr3proba:::.__PredictionSurv__initialize(...)
23. │ └─private$.simplify_distr(distr)
24. │ └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
25. │ └─base::stop("'x' is not a 'VectorDistribution'")
26. └─base::.handleSimpleError(...)
27. └─mlr3pipelines h(simpleError(msg, call))
── Error (test_pipeop_crankcompositor.R:57:3): overwrite response ──────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
Backtrace:
▆
1. └─PredictionSurv$new(...) at test_pipeop_crankcompositor.R:57:2
2. └─mlr3proba initialize(...)
3. └─mlr3proba:::.__PredictionSurv__initialize(...)
4. └─private$.simplify_distr(distr)
5. └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
── Error (test_pipeop_crankcompositor.R:76:3): neg crank ───────────────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
This happened PipeOp compose_crank's $predict()
Backtrace:
▆
1. ├─pl$train(task)$predict(task) at test_pipeop_crankcompositor.R:76:2
2. │ └─mlr3:::.__Learner__predict(...)
3. │ └─mlr3:::learner_predict(self, task, row_ids)
4. │ └─mlr3misc::encapsulate(...)
5. │ ├─mlr3misc::invoke(...)
6. │ │ └─base::eval.parent(expr, n = 1L)
7. │ │ └─base::eval(expr, p)
8. │ │ └─base::eval(expr, p)
9. │ └─mlr3 .f(task = `<TaskSurv>`, learner = `<GrphLrnr>`)
10. │ └─get_private(learner)$.predict(task)
11. │ └─mlr3pipelines:::.__GraphLearner__.predict(...)
12. │ └─self$graph$predict(task)
13. │ └─mlr3pipelines:::.__Graph__predict(...)
14. │ └─mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
15. │ └─op[[fun]](input)
16. │ └─mlr3pipelines:::.__PipeOp__predict(...)
17. │ ├─base::withCallingHandlers(...)
18. │ └─private$.predict(input)
19. │ └─mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
20. │ └─PredictionSurv$new(...)
21. │ └─mlr3proba initialize(...)
22. │ └─mlr3proba:::.__PredictionSurv__initialize(...)
23. │ └─private$.simplify_distr(distr)
24. │ └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
25. │ └─base::stop("'x' is not a 'VectorDistribution'")
26. └─base::.handleSimpleError(...)
27. └─mlr3pipelines h(simpleError(msg, call))
── Failure (test_pipeop_distrcompositor.R:19:3): PipeOpDistrCompositor - overwrite = TRUE ──
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipeop_distrcompositor.R:19:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Failure (test_pipeop_distrcompositor.R:24:3): PipeOpDistrCompositor - overwrite = TRUE ──
Check on 'p$distr' failed: Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(gr$train(task)$predict(task)) at test_pipeop_distrcompositor.R:24:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
── Error (test_pipeop_survavg.R:19:3): equal weights ───────────────────────────
Error in `p$distr$cdf`: $ operator is invalid for atomic vectors
Backtrace:
▆
1. └─testthat::expect_equal(...) at test_pipeop_survavg.R:19:2
2. └─testthat::quasi_label(enquo(object), label, arg = "object")
3. └─rlang::eval_bare(expr, quo_get_env(quo))
── Error (test_pipeop_survavg.R:33:3): unequal weights ─────────────────────────
Error in `p$distr$cdf`: $ operator is invalid for atomic vectors
Backtrace:
▆
1. └─testthat::expect_equal(...) at test_pipeop_survavg.R:33:2
2. └─testthat::quasi_label(enquo(object), label, arg = "object")
3. └─rlang::eval_bare(expr, quo_get_env(quo))
── Error (test_pipeop_survavg.R:47:3): response ────────────────────────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
This happened PipeOp compose_crank's $predict()
Backtrace:
▆
1. ├─mlr3pipelines::ppl("crankcompositor", lrn("surv.kaplan"), response = TRUE, ... at test_pipeop_survavg.R:47:2
2. │ └─mlr3:::.__Learner__predict(...)
3. │ └─mlr3:::learner_predict(self, task, row_ids)
4. │ └─mlr3misc::encapsulate(...)
5. │ ├─mlr3misc::invoke(...)
6. │ │ └─base::eval.parent(expr, n = 1L)
7. │ │ └─base::eval(expr, p)
8. │ │ └─base::eval(expr, p)
9. │ └─mlr3 .f(task = `<TaskSurv>`, learner = `<GrphLrnr>`)
10. │ └─get_private(learner)$.predict(task)
11. │ └─mlr3pipelines:::.__GraphLearner__.predict(...)
12. │ └─self$graph$predict(task)
13. │ └─mlr3pipelines:::.__Graph__predict(...)
14. │ └─mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
15. │ └─op[[fun]](input)
16. │ └─mlr3pipelines:::.__PipeOp__predict(...)
17. │ ├─base::withCallingHandlers(...)
18. │ └─private$.predict(input)
19. │ └─mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
20. │ └─PredictionSurv$new(...)
21. │ └─mlr3proba initialize(...)
22. │ └─mlr3proba:::.__PredictionSurv__initialize(...)
23. │ └─private$.simplify_distr(distr)
24. │ └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
25. │ └─base::stop("'x' is not a 'VectorDistribution'")
26. └─base::.handleSimpleError(...)
27. └─mlr3pipelines h(simpleError(msg, call))
── Error (test_pipeop_survavg.R:65:3): surv_averager ───────────────────────────
Error in `p$distr$cdf`: $ operator is invalid for atomic vectors
Backtrace:
▆
1. └─testthat::expect_equal(p$distr$cdf(1:3), p2$distr$cdf(1:3)) at test_pipeop_survavg.R:65:2
2. └─testthat::quasi_label(enquo(object), label, arg = "object")
3. └─rlang::eval_bare(expr, quo_get_env(quo))
── Error (test_resample.R:9:3): resample-step ──────────────────────────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
Backtrace:
▆
1. └─global expect_resample_result(rr) at test_resample.R:9:2
2. ├─global expect_prediction(rr$prediction())
3. │ └─checkmate::expect_r6(...)
4. │ └─checkmate::checkR6(...)
5. └─rr$prediction()
6. └─mlr3:::.__ResampleResult__prediction(...)
7. └─private$.data$prediction(private$.view, predict_sets)
8. └─mlr3:::.__ResultData__prediction(...)
9. ├─base::do.call(c, self$predictions(view = view, predict_sets = predict_sets))
10. ├─base `<fn>`(`<PrdctnSr>`, `<PrdctnSr>`, `<PrdctnSr>`)
11. └─mlr3:::c.Prediction(`<PrdctnSr>`, `<PrdctnSr>`, `<PrdctnSr>`)
12. ├─mlr3::as_prediction(pdata, check = FALSE)
13. └─mlr3proba:::as_prediction.PredictionDataSurv(pdata, check = FALSE)
14. ├─mlr3misc::invoke(PredictionSurv$new, check = check, .args = x)
15. │ └─base::eval.parent(expr, n = 1L)
16. │ └─base::eval(expr, p)
17. │ └─base::eval(expr, p)
18. └─PredictionSurv$new(...)
19. └─mlr3proba initialize(...)
20. └─mlr3proba:::.__PredictionSurv__initialize(...)
21. └─private$.simplify_distr(distr)
22. └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
[ FAIL 23 | WARN 19 | SKIP 2 | PASS 1725 ]
Error: Test failures
Execution halted
Flavor: r-patched-linux-x86_64
Version: 0.4.4
Check: tests
Result: ERROR
Running ‘testthat.R’ [94s/120s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("checkmate") # for more expect_*() functions
+ library("mlr3proba")
+ test_check("mlr3proba")
+ }
Loading required package: mlr3
[ FAIL 23 | WARN 17 | SKIP 2 | PASS 1725 ]
══ Skipped tests ═══════════════════════════════════════════════════════════════
• On CRAN (2)
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure (test_PredictionSurv.R:12:3): Internally constructed Prediction ─────
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_PredictionSurv.R:12:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
4. └─testthat::expect_true(...)
── Error (test_PredictionSurv.R:23:3): c ───────────────────────────────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
Backtrace:
▆
1. ├─base::do.call(c, preds) at test_PredictionSurv.R:23:2
2. ├─base `<fn>`(`<PrdctnSr>`, `<PrdctnSr>`)
3. └─mlr3:::c.Prediction(`<PrdctnSr>`, `<PrdctnSr>`)
4. ├─mlr3::as_prediction(pdata, check = FALSE)
5. └─mlr3proba:::as_prediction.PredictionDataSurv(pdata, check = FALSE)
6. ├─mlr3misc::invoke(PredictionSurv$new, check = check, .args = x)
7. │ └─base::eval.parent(expr, n = 1L)
8. │ └─base::eval(expr, p)
9. │ └─base::eval(expr, p)
10. └─PredictionSurv$new(...)
11. └─mlr3proba initialize(...)
12. └─mlr3proba:::.__PredictionSurv__initialize(...)
13. └─private$.simplify_distr(distr)
14. └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
── Failure (test_PredictionSurv.R:52:3): data.frame roundtrip ──────────────────
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p2) at test_PredictionSurv.R:52:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
4. └─testthat::expect_true(...)
── Failure (test_PredictionSurv.R:64:3): as_prediction_surv ────────────────────
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(as_prediction_surv(as.data.table(p))) at test_PredictionSurv.R:64:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
4. └─testthat::expect_true(...)
── Failure (test_PredictionSurv.R:70:3): filtering ─────────────────────────────
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_PredictionSurv.R:70:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
4. └─testthat::expect_true(...)
── Failure (test_mlr_measures.R:43:3): unintegrated_prob_losses ────────────────
`prediction$score(msr)` produced warnings.
── Failure (test_pipelines.R:11:3): crankcompositor ────────────────────────────
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipelines.R:11:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
4. └─testthat::expect_true(...)
── Failure (test_pipelines.R:22:3): distrcompositor ────────────────────────────
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipelines.R:22:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
4. └─testthat::expect_true(...)
── Failure (test_pipelines.R:68:3): survtoregr 1 ───────────────────────────────
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipelines.R:68:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
4. └─testthat::expect_true(...)
── Failure (test_pipelines.R:104:3): survtoregr 3 ──────────────────────────────
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipelines.R:104:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
4. └─testthat::expect_true(...)
── Failure (test_pipeop_crankcompositor.R:12:3): PipeOpCrankCompositor - estimate ──
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipeop_crankcompositor.R:12:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
4. └─testthat::expect_true(...)
── Failure (test_pipeop_crankcompositor.R:20:3): no params ─────────────────────
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipeop_crankcompositor.R:20:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
4. └─testthat::expect_true(...)
── Error (test_pipeop_crankcompositor.R:26:3): response ────────────────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
This happened PipeOp compose_crank's $predict()
Backtrace:
▆
1. ├─po$predict(list(lrn("surv.kaplan")$train(task)$predict(task))) at test_pipeop_crankcompositor.R:26:2
2. │ └─mlr3pipelines:::.__PipeOp__predict(...)
3. │ ├─base::withCallingHandlers(...)
4. │ └─private$.predict(input)
5. │ └─mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
6. │ └─PredictionSurv$new(...)
7. │ └─mlr3proba initialize(...)
8. │ └─mlr3proba:::.__PredictionSurv__initialize(...)
9. │ └─private$.simplify_distr(distr)
10. │ └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
11. │ └─base::stop("'x' is not a 'VectorDistribution'")
12. └─base::.handleSimpleError(...)
13. └─mlr3pipelines h(simpleError(msg, call))
── Error (test_pipeop_crankcompositor.R:49:3): overwrite crank ─────────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
This happened PipeOp compose_crank's $predict()
Backtrace:
▆
1. ├─pl$train(task)$predict(task) at test_pipeop_crankcompositor.R:49:2
2. │ └─mlr3:::.__Learner__predict(...)
3. │ └─mlr3:::learner_predict(self, task, row_ids)
4. │ └─mlr3misc::encapsulate(...)
5. │ ├─mlr3misc::invoke(...)
6. │ │ └─base::eval.parent(expr, n = 1L)
7. │ │ └─base::eval(expr, p)
8. │ │ └─base::eval(expr, p)
9. │ └─mlr3 .f(task = `<TaskSurv>`, learner = `<GrphLrnr>`)
10. │ └─get_private(learner)$.predict(task)
11. │ └─mlr3pipelines:::.__GraphLearner__.predict(...)
12. │ └─self$graph$predict(task)
13. │ └─mlr3pipelines:::.__Graph__predict(...)
14. │ └─mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
15. │ └─op[[fun]](input)
16. │ └─mlr3pipelines:::.__PipeOp__predict(...)
17. │ ├─base::withCallingHandlers(...)
18. │ └─private$.predict(input)
19. │ └─mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
20. │ └─PredictionSurv$new(...)
21. │ └─mlr3proba initialize(...)
22. │ └─mlr3proba:::.__PredictionSurv__initialize(...)
23. │ └─private$.simplify_distr(distr)
24. │ └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
25. │ └─base::stop("'x' is not a 'VectorDistribution'")
26. └─base::.handleSimpleError(...)
27. └─mlr3pipelines h(simpleError(msg, call))
── Error (test_pipeop_crankcompositor.R:57:3): overwrite response ──────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
Backtrace:
▆
1. └─PredictionSurv$new(...) at test_pipeop_crankcompositor.R:57:2
2. └─mlr3proba initialize(...)
3. └─mlr3proba:::.__PredictionSurv__initialize(...)
4. └─private$.simplify_distr(distr)
5. └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
── Error (test_pipeop_crankcompositor.R:76:3): neg crank ───────────────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
This happened PipeOp compose_crank's $predict()
Backtrace:
▆
1. ├─pl$train(task)$predict(task) at test_pipeop_crankcompositor.R:76:2
2. │ └─mlr3:::.__Learner__predict(...)
3. │ └─mlr3:::learner_predict(self, task, row_ids)
4. │ └─mlr3misc::encapsulate(...)
5. │ ├─mlr3misc::invoke(...)
6. │ │ └─base::eval.parent(expr, n = 1L)
7. │ │ └─base::eval(expr, p)
8. │ │ └─base::eval(expr, p)
9. │ └─mlr3 .f(task = `<TaskSurv>`, learner = `<GrphLrnr>`)
10. │ └─get_private(learner)$.predict(task)
11. │ └─mlr3pipelines:::.__GraphLearner__.predict(...)
12. │ └─self$graph$predict(task)
13. │ └─mlr3pipelines:::.__Graph__predict(...)
14. │ └─mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
15. │ └─op[[fun]](input)
16. │ └─mlr3pipelines:::.__PipeOp__predict(...)
17. │ ├─base::withCallingHandlers(...)
18. │ └─private$.predict(input)
19. │ └─mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
20. │ └─PredictionSurv$new(...)
21. │ └─mlr3proba initialize(...)
22. │ └─mlr3proba:::.__PredictionSurv__initialize(...)
23. │ └─private$.simplify_distr(distr)
24. │ └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
25. │ └─base::stop("'x' is not a 'VectorDistribution'")
26. └─base::.handleSimpleError(...)
27. └─mlr3pipelines h(simpleError(msg, call))
── Failure (test_pipeop_distrcompositor.R:19:3): PipeOpDistrCompositor - overwrite = TRUE ──
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipeop_distrcompositor.R:19:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
4. └─testthat::expect_true(...)
── Failure (test_pipeop_distrcompositor.R:24:3): PipeOpDistrCompositor - overwrite = TRUE ──
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(gr$train(task)$predict(task)) at test_pipeop_distrcompositor.R:24:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
4. └─testthat::expect_true(...)
── Error (test_pipeop_survavg.R:19:3): equal weights ───────────────────────────
Error in `p$distr$cdf`: $ operator is invalid for atomic vectors
Backtrace:
▆
1. └─testthat::expect_equal(...) at test_pipeop_survavg.R:19:2
2. └─testthat::quasi_label(enquo(object), label, arg = "object")
3. └─rlang::eval_bare(expr, quo_get_env(quo))
── Error (test_pipeop_survavg.R:33:3): unequal weights ─────────────────────────
Error in `p$distr$cdf`: $ operator is invalid for atomic vectors
Backtrace:
▆
1. └─testthat::expect_equal(...) at test_pipeop_survavg.R:33:2
2. └─testthat::quasi_label(enquo(object), label, arg = "object")
3. └─rlang::eval_bare(expr, quo_get_env(quo))
── Error (test_pipeop_survavg.R:47:3): response ────────────────────────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
This happened PipeOp compose_crank's $predict()
Backtrace:
▆
1. ├─mlr3pipelines::ppl("crankcompositor", lrn("surv.kaplan"), response = TRUE, ... at test_pipeop_survavg.R:47:2
2. │ └─mlr3:::.__Learner__predict(...)
3. │ └─mlr3:::learner_predict(self, task, row_ids)
4. │ └─mlr3misc::encapsulate(...)
5. │ ├─mlr3misc::invoke(...)
6. │ │ └─base::eval.parent(expr, n = 1L)
7. │ │ └─base::eval(expr, p)
8. │ │ └─base::eval(expr, p)
9. │ └─mlr3 .f(task = `<TaskSurv>`, learner = `<GrphLrnr>`)
10. │ └─get_private(learner)$.predict(task)
11. │ └─mlr3pipelines:::.__GraphLearner__.predict(...)
12. │ └─self$graph$predict(task)
13. │ └─mlr3pipelines:::.__Graph__predict(...)
14. │ └─mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
15. │ └─op[[fun]](input)
16. │ └─mlr3pipelines:::.__PipeOp__predict(...)
17. │ ├─base::withCallingHandlers(...)
18. │ └─private$.predict(input)
19. │ └─mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
20. │ └─PredictionSurv$new(...)
21. │ └─mlr3proba initialize(...)
22. │ └─mlr3proba:::.__PredictionSurv__initialize(...)
23. │ └─private$.simplify_distr(distr)
24. │ └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
25. │ └─base::stop("'x' is not a 'VectorDistribution'")
26. └─base::.handleSimpleError(...)
27. └─mlr3pipelines h(simpleError(msg, call))
── Error (test_pipeop_survavg.R:65:3): surv_averager ───────────────────────────
Error in `p$distr$cdf`: $ operator is invalid for atomic vectors
Backtrace:
▆
1. └─testthat::expect_equal(p$distr$cdf(1:3), p2$distr$cdf(1:3)) at test_pipeop_survavg.R:65:2
2. └─testthat::quasi_label(enquo(object), label, arg = "object")
3. └─rlang::eval_bare(expr, quo_get_env(quo))
── Error (test_resample.R:9:3): resample-step ──────────────────────────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
Backtrace:
▆
1. └─global expect_resample_result(rr) at test_resample.R:9:2
2. ├─global expect_prediction(rr$prediction())
3. │ └─checkmate::expect_r6(...)
4. │ └─checkmate::checkR6(...)
5. └─rr$prediction()
6. └─mlr3:::.__ResampleResult__prediction(...)
7. └─private$.data$prediction(private$.view, predict_sets)
8. └─mlr3:::.__ResultData__prediction(...)
9. ├─base::do.call(c, self$predictions(view = view, predict_sets = predict_sets))
10. ├─base `<fn>`(`<PrdctnSr>`, `<PrdctnSr>`, `<PrdctnSr>`)
11. └─mlr3:::c.Prediction(`<PrdctnSr>`, `<PrdctnSr>`, `<PrdctnSr>`)
12. ├─mlr3::as_prediction(pdata, check = FALSE)
13. └─mlr3proba:::as_prediction.PredictionDataSurv(pdata, check = FALSE)
14. ├─mlr3misc::invoke(PredictionSurv$new, check = check, .args = x)
15. │ └─base::eval.parent(expr, n = 1L)
16. │ └─base::eval(expr, p)
17. │ └─base::eval(expr, p)
18. └─PredictionSurv$new(...)
19. └─mlr3proba initialize(...)
20. └─mlr3proba:::.__PredictionSurv__initialize(...)
21. └─private$.simplify_distr(distr)
22. └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
[ FAIL 23 | WARN 17 | SKIP 2 | PASS 1725 ]
Error: Test failures
Execution halted
Flavor: r-release-linux-x86_64
Version: 0.4.4
Check: tests
Result: ERROR
Running 'testthat.R' [90s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("checkmate") # for more expect_*() functions
+ library("mlr3proba")
+ test_check("mlr3proba")
+ }
Loading required package: mlr3
[ FAIL 24 | WARN 19 | SKIP 2 | PASS 1724 ]
══ Skipped tests ═══════════════════════════════════════════════════════════════
• On CRAN (2)
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure (test_PredictionSurv.R:12:3): Internally constructed Prediction ─────
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_PredictionSurv.R:12:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
4. └─testthat::expect_true(...)
── Error (test_PredictionSurv.R:23:3): c ───────────────────────────────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
Backtrace:
▆
1. ├─base::do.call(c, preds) at test_PredictionSurv.R:23:2
2. ├─base `<fn>`(`<PrdctnSr>`, `<PrdctnSr>`)
3. └─mlr3:::c.Prediction(`<PrdctnSr>`, `<PrdctnSr>`)
4. ├─mlr3::as_prediction(pdata, check = FALSE)
5. └─mlr3proba:::as_prediction.PredictionDataSurv(pdata, check = FALSE)
6. ├─mlr3misc::invoke(PredictionSurv$new, check = check, .args = x)
7. │ └─base::eval.parent(expr, n = 1L)
8. │ └─base::eval(expr, p)
9. │ └─base::eval(expr, p)
10. └─PredictionSurv$new(...)
11. └─mlr3proba initialize(...)
12. └─mlr3proba:::.__PredictionSurv__initialize(...)
13. └─private$.simplify_distr(distr)
14. └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
── Failure (test_PredictionSurv.R:52:3): data.frame roundtrip ──────────────────
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p2) at test_PredictionSurv.R:52:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
4. └─testthat::expect_true(...)
── Failure (test_PredictionSurv.R:64:3): as_prediction_surv ────────────────────
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(as_prediction_surv(as.data.table(p))) at test_PredictionSurv.R:64:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
4. └─testthat::expect_true(...)
── Failure (test_PredictionSurv.R:70:3): filtering ─────────────────────────────
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_PredictionSurv.R:70:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
4. └─testthat::expect_true(...)
── Failure (test_mlr_measures.R:33:7): mlr_measures ────────────────────────────
Check on perf is not TRUE
`actual` is a character vector ('May not be NA')
`expected` is a logical vector (TRUE)
May not be NA
Backtrace:
▆
1. └─checkmate::expect_number(perf, na.ok = "na_score" %in% m$properties) at test_mlr_measures.R:33:6
2. └─checkmate::makeExpectation(x, res, info, label)
3. └─testthat::expect_true(...)
── Failure (test_mlr_measures.R:43:3): unintegrated_prob_losses ────────────────
`prediction$score(msr)` produced warnings.
── Failure (test_pipelines.R:11:3): crankcompositor ────────────────────────────
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipelines.R:11:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
4. └─testthat::expect_true(...)
── Failure (test_pipelines.R:22:3): distrcompositor ────────────────────────────
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipelines.R:22:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
4. └─testthat::expect_true(...)
── Failure (test_pipelines.R:68:3): survtoregr 1 ───────────────────────────────
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipelines.R:68:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
4. └─testthat::expect_true(...)
── Failure (test_pipelines.R:104:3): survtoregr 3 ──────────────────────────────
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipelines.R:104:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
4. └─testthat::expect_true(...)
── Failure (test_pipeop_crankcompositor.R:12:3): PipeOpCrankCompositor - estimate ──
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipeop_crankcompositor.R:12:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
4. └─testthat::expect_true(...)
── Failure (test_pipeop_crankcompositor.R:20:3): no params ─────────────────────
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipeop_crankcompositor.R:20:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
4. └─testthat::expect_true(...)
── Error (test_pipeop_crankcompositor.R:26:3): response ────────────────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
This happened PipeOp compose_crank's $predict()
Backtrace:
▆
1. ├─po$predict(list(lrn("surv.kaplan")$train(task)$predict(task))) at test_pipeop_crankcompositor.R:26:2
2. │ └─mlr3pipelines:::.__PipeOp__predict(...)
3. │ ├─base::withCallingHandlers(...)
4. │ └─private$.predict(input)
5. │ └─mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
6. │ └─PredictionSurv$new(...)
7. │ └─mlr3proba initialize(...)
8. │ └─mlr3proba:::.__PredictionSurv__initialize(...)
9. │ └─private$.simplify_distr(distr)
10. │ └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
11. │ └─base::stop("'x' is not a 'VectorDistribution'")
12. └─base::.handleSimpleError(...)
13. └─mlr3pipelines h(simpleError(msg, call))
── Error (test_pipeop_crankcompositor.R:49:3): overwrite crank ─────────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
This happened PipeOp compose_crank's $predict()
Backtrace:
▆
1. ├─pl$train(task)$predict(task) at test_pipeop_crankcompositor.R:49:2
2. │ └─mlr3:::.__Learner__predict(...)
3. │ └─mlr3:::learner_predict(self, task, row_ids)
4. │ └─mlr3misc::encapsulate(...)
5. │ ├─mlr3misc::invoke(...)
6. │ │ └─base::eval.parent(expr, n = 1L)
7. │ │ └─base::eval(expr, p)
8. │ │ └─base::eval(expr, p)
9. │ └─mlr3 .f(task = `<TaskSurv>`, learner = `<GrphLrnr>`)
10. │ └─get_private(learner)$.predict(task)
11. │ └─mlr3pipelines:::.__GraphLearner__.predict(...)
12. │ └─self$graph$predict(task)
13. │ └─mlr3pipelines:::.__Graph__predict(...)
14. │ └─mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
15. │ └─op[[fun]](input)
16. │ └─mlr3pipelines:::.__PipeOp__predict(...)
17. │ ├─base::withCallingHandlers(...)
18. │ └─private$.predict(input)
19. │ └─mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
20. │ └─PredictionSurv$new(...)
21. │ └─mlr3proba initialize(...)
22. │ └─mlr3proba:::.__PredictionSurv__initialize(...)
23. │ └─private$.simplify_distr(distr)
24. │ └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
25. │ └─base::stop("'x' is not a 'VectorDistribution'")
26. └─base::.handleSimpleError(...)
27. └─mlr3pipelines h(simpleError(msg, call))
── Error (test_pipeop_crankcompositor.R:57:3): overwrite response ──────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
Backtrace:
▆
1. └─PredictionSurv$new(...) at test_pipeop_crankcompositor.R:57:2
2. └─mlr3proba initialize(...)
3. └─mlr3proba:::.__PredictionSurv__initialize(...)
4. └─private$.simplify_distr(distr)
5. └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
── Error (test_pipeop_crankcompositor.R:76:3): neg crank ───────────────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
This happened PipeOp compose_crank's $predict()
Backtrace:
▆
1. ├─pl$train(task)$predict(task) at test_pipeop_crankcompositor.R:76:2
2. │ └─mlr3:::.__Learner__predict(...)
3. │ └─mlr3:::learner_predict(self, task, row_ids)
4. │ └─mlr3misc::encapsulate(...)
5. │ ├─mlr3misc::invoke(...)
6. │ │ └─base::eval.parent(expr, n = 1L)
7. │ │ └─base::eval(expr, p)
8. │ │ └─base::eval(expr, p)
9. │ └─mlr3 .f(task = `<TaskSurv>`, learner = `<GrphLrnr>`)
10. │ └─get_private(learner)$.predict(task)
11. │ └─mlr3pipelines:::.__GraphLearner__.predict(...)
12. │ └─self$graph$predict(task)
13. │ └─mlr3pipelines:::.__Graph__predict(...)
14. │ └─mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
15. │ └─op[[fun]](input)
16. │ └─mlr3pipelines:::.__PipeOp__predict(...)
17. │ ├─base::withCallingHandlers(...)
18. │ └─private$.predict(input)
19. │ └─mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
20. │ └─PredictionSurv$new(...)
21. │ └─mlr3proba initialize(...)
22. │ └─mlr3proba:::.__PredictionSurv__initialize(...)
23. │ └─private$.simplify_distr(distr)
24. │ └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
25. │ └─base::stop("'x' is not a 'VectorDistribution'")
26. └─base::.handleSimpleError(...)
27. └─mlr3pipelines h(simpleError(msg, call))
── Failure (test_pipeop_distrcompositor.R:19:3): PipeOpDistrCompositor - overwrite = TRUE ──
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(p) at test_pipeop_distrcompositor.R:19:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
4. └─testthat::expect_true(...)
── Failure (test_pipeop_distrcompositor.R:24:3): PipeOpDistrCompositor - overwrite = TRUE ──
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
▆
1. └─global expect_prediction_surv(gr$train(task)$predict(task)) at test_pipeop_distrcompositor.R:24:2
2. └─checkmate::expect_class(p$distr, "VectorDistribution")
3. └─checkmate::makeExpectation(x, res, info, label)
4. └─testthat::expect_true(...)
── Error (test_pipeop_survavg.R:19:3): equal weights ───────────────────────────
Error in `p$distr$cdf`: $ operator is invalid for atomic vectors
Backtrace:
▆
1. └─testthat::expect_equal(...) at test_pipeop_survavg.R:19:2
2. └─testthat::quasi_label(enquo(object), label, arg = "object")
3. └─rlang::eval_bare(expr, quo_get_env(quo))
── Error (test_pipeop_survavg.R:33:3): unequal weights ─────────────────────────
Error in `p$distr$cdf`: $ operator is invalid for atomic vectors
Backtrace:
▆
1. └─testthat::expect_equal(...) at test_pipeop_survavg.R:33:2
2. └─testthat::quasi_label(enquo(object), label, arg = "object")
3. └─rlang::eval_bare(expr, quo_get_env(quo))
── Error (test_pipeop_survavg.R:47:3): response ────────────────────────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
This happened PipeOp compose_crank's $predict()
Backtrace:
▆
1. ├─mlr3pipelines::ppl("crankcompositor", lrn("surv.kaplan"), response = TRUE, ... at test_pipeop_survavg.R:47:2
2. │ └─mlr3:::.__Learner__predict(...)
3. │ └─mlr3:::learner_predict(self, task, row_ids)
4. │ └─mlr3misc::encapsulate(...)
5. │ ├─mlr3misc::invoke(...)
6. │ │ └─base::eval.parent(expr, n = 1L)
7. │ │ └─base::eval(expr, p)
8. │ │ └─base::eval(expr, p)
9. │ └─mlr3 .f(task = `<TaskSurv>`, learner = `<GrphLrnr>`)
10. │ └─get_private(learner)$.predict(task)
11. │ └─mlr3pipelines:::.__GraphLearner__.predict(...)
12. │ └─self$graph$predict(task)
13. │ └─mlr3pipelines:::.__Graph__predict(...)
14. │ └─mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
15. │ └─op[[fun]](input)
16. │ └─mlr3pipelines:::.__PipeOp__predict(...)
17. │ ├─base::withCallingHandlers(...)
18. │ └─private$.predict(input)
19. │ └─mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
20. │ └─PredictionSurv$new(...)
21. │ └─mlr3proba initialize(...)
22. │ └─mlr3proba:::.__PredictionSurv__initialize(...)
23. │ └─private$.simplify_distr(distr)
24. │ └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
25. │ └─base::stop("'x' is not a 'VectorDistribution'")
26. └─base::.handleSimpleError(...)
27. └─mlr3pipelines h(simpleError(msg, call))
── Error (test_pipeop_survavg.R:65:3): surv_averager ───────────────────────────
Error in `p$distr$cdf`: $ operator is invalid for atomic vectors
Backtrace:
▆
1. └─testthat::expect_equal(p$distr$cdf(1:3), p2$distr$cdf(1:3)) at test_pipeop_survavg.R:65:2
2. └─testthat::quasi_label(enquo(object), label, arg = "object")
3. └─rlang::eval_bare(expr, quo_get_env(quo))
── Error (test_resample.R:9:3): resample-step ──────────────────────────────────
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
Backtrace:
▆
1. └─global expect_resample_result(rr) at test_resample.R:9:2
2. ├─global expect_prediction(rr$prediction())
3. │ └─checkmate::expect_r6(...)
4. │ └─checkmate::checkR6(...)
5. └─rr$prediction()
6. └─mlr3:::.__ResampleResult__prediction(...)
7. └─private$.data$prediction(private$.view, predict_sets)
8. └─mlr3:::.__ResultData__prediction(...)
9. ├─base::do.call(c, self$predictions(view = view, predict_sets = predict_sets))
10. ├─base `<fn>`(`<PrdctnSr>`, `<PrdctnSr>`, `<PrdctnSr>`)
11. └─mlr3:::c.Prediction(`<PrdctnSr>`, `<PrdctnSr>`, `<PrdctnSr>`)
12. ├─mlr3::as_prediction(pdata, check = FALSE)
13. └─mlr3proba:::as_prediction.PredictionDataSurv(pdata, check = FALSE)
14. ├─mlr3misc::invoke(PredictionSurv$new, check = check, .args = x)
15. │ └─base::eval.parent(expr, n = 1L)
16. │ └─base::eval(expr, p)
17. │ └─base::eval(expr, p)
18. └─PredictionSurv$new(...)
19. └─mlr3proba initialize(...)
20. └─mlr3proba:::.__PredictionSurv__initialize(...)
21. └─private$.simplify_distr(distr)
22. └─mlr3proba:::.__PredictionSurv__.simplify_distr(...)
[ FAIL 24 | WARN 19 | SKIP 2 | PASS 1724 ]
Error: Test failures
Execution halted
Flavor: r-release-windows-x86_64
Version: 0.4.4
Check: running tests for arch ‘i386’
Result: ERROR
Running 'testthat.R' [113s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("checkmate") # for more expect_*() functions
+ library("mlr3proba")
+ test_check("mlr3proba")
+ }
Loading required package: mlr3
[ FAIL 23 | WARN 17 | SKIP 2 | PASS 1725 ]
== Skipped tests ===============================================================
* On CRAN (2)
== Failed tests ================================================================
-- Failure (test_PredictionSurv.R:12:3): Internally constructed Prediction -----
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
x
1. \-global expect_prediction_surv(p) at test_PredictionSurv.R:12:2
2. \-checkmate::expect_class(p$distr, "VectorDistribution")
3. \-checkmate::makeExpectation(x, res, info, label)
4. \-testthat::expect_true(...)
-- Error (test_PredictionSurv.R:23:3): c ---------------------------------------
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
Backtrace:
x
1. +-base::do.call(c, preds) at test_PredictionSurv.R:23:2
2. +-base `<fn>`(`<PrdctnSr>`, `<PrdctnSr>`)
3. \-mlr3:::c.Prediction(`<PrdctnSr>`, `<PrdctnSr>`)
4. +-mlr3::as_prediction(pdata, check = FALSE)
5. \-mlr3proba:::as_prediction.PredictionDataSurv(pdata, check = FALSE)
6. +-mlr3misc::invoke(PredictionSurv$new, check = check, .args = x)
7. | \-base::eval.parent(expr, n = 1L)
8. | \-base::eval(expr, p)
9. | \-base::eval(expr, p)
10. \-PredictionSurv$new(...)
11. \-mlr3proba initialize(...)
12. \-mlr3proba:::.__PredictionSurv__initialize(...)
13. \-private$.simplify_distr(distr)
14. \-mlr3proba:::.__PredictionSurv__.simplify_distr(...)
-- Failure (test_PredictionSurv.R:52:3): data.frame roundtrip ------------------
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
x
1. \-global expect_prediction_surv(p2) at test_PredictionSurv.R:52:2
2. \-checkmate::expect_class(p$distr, "VectorDistribution")
3. \-checkmate::makeExpectation(x, res, info, label)
4. \-testthat::expect_true(...)
-- Failure (test_PredictionSurv.R:64:3): as_prediction_surv --------------------
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
x
1. \-global expect_prediction_surv(as_prediction_surv(as.data.table(p))) at test_PredictionSurv.R:64:2
2. \-checkmate::expect_class(p$distr, "VectorDistribution")
3. \-checkmate::makeExpectation(x, res, info, label)
4. \-testthat::expect_true(...)
-- Failure (test_PredictionSurv.R:70:3): filtering -----------------------------
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
x
1. \-global expect_prediction_surv(p) at test_PredictionSurv.R:70:2
2. \-checkmate::expect_class(p$distr, "VectorDistribution")
3. \-checkmate::makeExpectation(x, res, info, label)
4. \-testthat::expect_true(...)
-- Failure (test_mlr_measures.R:43:3): unintegrated_prob_losses ----------------
`prediction$score(msr)` produced warnings.
-- Failure (test_pipelines.R:11:3): crankcompositor ----------------------------
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
x
1. \-global expect_prediction_surv(p) at test_pipelines.R:11:2
2. \-checkmate::expect_class(p$distr, "VectorDistribution")
3. \-checkmate::makeExpectation(x, res, info, label)
4. \-testthat::expect_true(...)
-- Failure (test_pipelines.R:22:3): distrcompositor ----------------------------
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
x
1. \-global expect_prediction_surv(p) at test_pipelines.R:22:2
2. \-checkmate::expect_class(p$distr, "VectorDistribution")
3. \-checkmate::makeExpectation(x, res, info, label)
4. \-testthat::expect_true(...)
-- Failure (test_pipelines.R:68:3): survtoregr 1 -------------------------------
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
x
1. \-global expect_prediction_surv(p) at test_pipelines.R:68:2
2. \-checkmate::expect_class(p$distr, "VectorDistribution")
3. \-checkmate::makeExpectation(x, res, info, label)
4. \-testthat::expect_true(...)
-- Failure (test_pipelines.R:104:3): survtoregr 3 ------------------------------
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
x
1. \-global expect_prediction_surv(p) at test_pipelines.R:104:2
2. \-checkmate::expect_class(p$distr, "VectorDistribution")
3. \-checkmate::makeExpectation(x, res, info, label)
4. \-testthat::expect_true(...)
-- Failure (test_pipeop_crankcompositor.R:12:3): PipeOpCrankCompositor - estimate --
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
x
1. \-global expect_prediction_surv(p) at test_pipeop_crankcompositor.R:12:2
2. \-checkmate::expect_class(p$distr, "VectorDistribution")
3. \-checkmate::makeExpectation(x, res, info, label)
4. \-testthat::expect_true(...)
-- Failure (test_pipeop_crankcompositor.R:20:3): no params ---------------------
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
x
1. \-global expect_prediction_surv(p) at test_pipeop_crankcompositor.R:20:2
2. \-checkmate::expect_class(p$distr, "VectorDistribution")
3. \-checkmate::makeExpectation(x, res, info, label)
4. \-testthat::expect_true(...)
-- Error (test_pipeop_crankcompositor.R:26:3): response ------------------------
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
This happened PipeOp compose_crank's $predict()
Backtrace:
x
1. +-po$predict(list(lrn("surv.kaplan")$train(task)$predict(task))) at test_pipeop_crankcompositor.R:26:2
2. | \-mlr3pipelines:::.__PipeOp__predict(...)
3. | +-base::withCallingHandlers(...)
4. | \-private$.predict(input)
5. | \-mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
6. | \-PredictionSurv$new(...)
7. | \-mlr3proba initialize(...)
8. | \-mlr3proba:::.__PredictionSurv__initialize(...)
9. | \-private$.simplify_distr(distr)
10. | \-mlr3proba:::.__PredictionSurv__.simplify_distr(...)
11. | \-base::stop("'x' is not a 'VectorDistribution'")
12. \-base::.handleSimpleError(...)
13. \-mlr3pipelines h(simpleError(msg, call))
-- Error (test_pipeop_crankcompositor.R:49:3): overwrite crank -----------------
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
This happened PipeOp compose_crank's $predict()
Backtrace:
x
1. +-pl$train(task)$predict(task) at test_pipeop_crankcompositor.R:49:2
2. | \-mlr3:::.__Learner__predict(...)
3. | \-mlr3:::learner_predict(self, task, row_ids)
4. | \-mlr3misc::encapsulate(...)
5. | +-mlr3misc::invoke(...)
6. | | \-base::eval.parent(expr, n = 1L)
7. | | \-base::eval(expr, p)
8. | | \-base::eval(expr, p)
9. | \-mlr3 .f(task = `<TaskSurv>`, learner = `<GrphLrnr>`)
10. | \-get_private(learner)$.predict(task)
11. | \-mlr3pipelines:::.__GraphLearner__.predict(...)
12. | \-self$graph$predict(task)
13. | \-mlr3pipelines:::.__Graph__predict(...)
14. | \-mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
15. | \-op[[fun]](input)
16. | \-mlr3pipelines:::.__PipeOp__predict(...)
17. | +-base::withCallingHandlers(...)
18. | \-private$.predict(input)
19. | \-mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
20. | \-PredictionSurv$new(...)
21. | \-mlr3proba initialize(...)
22. | \-mlr3proba:::.__PredictionSurv__initialize(...)
23. | \-private$.simplify_distr(distr)
24. | \-mlr3proba:::.__PredictionSurv__.simplify_distr(...)
25. | \-base::stop("'x' is not a 'VectorDistribution'")
26. \-base::.handleSimpleError(...)
27. \-mlr3pipelines h(simpleError(msg, call))
-- Error (test_pipeop_crankcompositor.R:57:3): overwrite response --------------
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
Backtrace:
x
1. \-PredictionSurv$new(...) at test_pipeop_crankcompositor.R:57:2
2. \-mlr3proba initialize(...)
3. \-mlr3proba:::.__PredictionSurv__initialize(...)
4. \-private$.simplify_distr(distr)
5. \-mlr3proba:::.__PredictionSurv__.simplify_distr(...)
-- Error (test_pipeop_crankcompositor.R:76:3): neg crank -----------------------
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
This happened PipeOp compose_crank's $predict()
Backtrace:
x
1. +-pl$train(task)$predict(task) at test_pipeop_crankcompositor.R:76:2
2. | \-mlr3:::.__Learner__predict(...)
3. | \-mlr3:::learner_predict(self, task, row_ids)
4. | \-mlr3misc::encapsulate(...)
5. | +-mlr3misc::invoke(...)
6. | | \-base::eval.parent(expr, n = 1L)
7. | | \-base::eval(expr, p)
8. | | \-base::eval(expr, p)
9. | \-mlr3 .f(task = `<TaskSurv>`, learner = `<GrphLrnr>`)
10. | \-get_private(learner)$.predict(task)
11. | \-mlr3pipelines:::.__GraphLearner__.predict(...)
12. | \-self$graph$predict(task)
13. | \-mlr3pipelines:::.__Graph__predict(...)
14. | \-mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
15. | \-op[[fun]](input)
16. | \-mlr3pipelines:::.__PipeOp__predict(...)
17. | +-base::withCallingHandlers(...)
18. | \-private$.predict(input)
19. | \-mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
20. | \-PredictionSurv$new(...)
21. | \-mlr3proba initialize(...)
22. | \-mlr3proba:::.__PredictionSurv__initialize(...)
23. | \-private$.simplify_distr(distr)
24. | \-mlr3proba:::.__PredictionSurv__.simplify_distr(...)
25. | \-base::stop("'x' is not a 'VectorDistribution'")
26. \-base::.handleSimpleError(...)
27. \-mlr3pipelines h(simpleError(msg, call))
-- Failure (test_pipeop_distrcompositor.R:19:3): PipeOpDistrCompositor - overwrite = TRUE --
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
x
1. \-global expect_prediction_surv(p) at test_pipeop_distrcompositor.R:19:2
2. \-checkmate::expect_class(p$distr, "VectorDistribution")
3. \-checkmate::makeExpectation(x, res, info, label)
4. \-testthat::expect_true(...)
-- Failure (test_pipeop_distrcompositor.R:24:3): PipeOpDistrCompositor - overwrite = TRUE --
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
x
1. \-global expect_prediction_surv(gr$train(task)$predict(task)) at test_pipeop_distrcompositor.R:24:2
2. \-checkmate::expect_class(p$distr, "VectorDistribution")
3. \-checkmate::makeExpectation(x, res, info, label)
4. \-testthat::expect_true(...)
-- Error (test_pipeop_survavg.R:19:3): equal weights ---------------------------
Error in `p$distr$cdf`: $ operator is invalid for atomic vectors
Backtrace:
x
1. \-testthat::expect_equal(...) at test_pipeop_survavg.R:19:2
2. \-testthat::quasi_label(enquo(object), label, arg = "object")
3. \-rlang::eval_bare(expr, quo_get_env(quo))
-- Error (test_pipeop_survavg.R:33:3): unequal weights -------------------------
Error in `p$distr$cdf`: $ operator is invalid for atomic vectors
Backtrace:
x
1. \-testthat::expect_equal(...) at test_pipeop_survavg.R:33:2
2. \-testthat::quasi_label(enquo(object), label, arg = "object")
3. \-rlang::eval_bare(expr, quo_get_env(quo))
-- Error (test_pipeop_survavg.R:47:3): response --------------------------------
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
This happened PipeOp compose_crank's $predict()
Backtrace:
x
1. +-mlr3pipelines::ppl("crankcompositor", lrn("surv.kaplan"), response = TRUE, ... at test_pipeop_survavg.R:47:2
2. | \-mlr3:::.__Learner__predict(...)
3. | \-mlr3:::learner_predict(self, task, row_ids)
4. | \-mlr3misc::encapsulate(...)
5. | +-mlr3misc::invoke(...)
6. | | \-base::eval.parent(expr, n = 1L)
7. | | \-base::eval(expr, p)
8. | | \-base::eval(expr, p)
9. | \-mlr3 .f(task = `<TaskSurv>`, learner = `<GrphLrnr>`)
10. | \-get_private(learner)$.predict(task)
11. | \-mlr3pipelines:::.__GraphLearner__.predict(...)
12. | \-self$graph$predict(task)
13. | \-mlr3pipelines:::.__Graph__predict(...)
14. | \-mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
15. | \-op[[fun]](input)
16. | \-mlr3pipelines:::.__PipeOp__predict(...)
17. | +-base::withCallingHandlers(...)
18. | \-private$.predict(input)
19. | \-mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
20. | \-PredictionSurv$new(...)
21. | \-mlr3proba initialize(...)
22. | \-mlr3proba:::.__PredictionSurv__initialize(...)
23. | \-private$.simplify_distr(distr)
24. | \-mlr3proba:::.__PredictionSurv__.simplify_distr(...)
25. | \-base::stop("'x' is not a 'VectorDistribution'")
26. \-base::.handleSimpleError(...)
27. \-mlr3pipelines h(simpleError(msg, call))
-- Error (test_pipeop_survavg.R:65:3): surv_averager ---------------------------
Error in `p$distr$cdf`: $ operator is invalid for atomic vectors
Backtrace:
x
1. \-testthat::expect_equal(p$distr$cdf(1:3), p2$distr$cdf(1:3)) at test_pipeop_survavg.R:65:2
2. \-testthat::quasi_label(enquo(object), label, arg = "object")
3. \-rlang::eval_bare(expr, quo_get_env(quo))
-- Error (test_resample.R:9:3): resample-step ----------------------------------
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
Backtrace:
x
1. \-global expect_resample_result(rr) at test_resample.R:9:2
2. +-global expect_prediction(rr$prediction())
3. | \-checkmate::expect_r6(...)
4. | \-checkmate::checkR6(...)
5. \-rr$prediction()
6. \-mlr3:::.__ResampleResult__prediction(...)
7. \-private$.data$prediction(private$.view, predict_sets)
8. \-mlr3:::.__ResultData__prediction(...)
9. +-base::do.call(c, self$predictions(view = view, predict_sets = predict_sets))
10. +-base `<fn>`(`<PrdctnSr>`, `<PrdctnSr>`, `<PrdctnSr>`)
11. \-mlr3:::c.Prediction(`<PrdctnSr>`, `<PrdctnSr>`, `<PrdctnSr>`)
12. +-mlr3::as_prediction(pdata, check = FALSE)
13. \-mlr3proba:::as_prediction.PredictionDataSurv(pdata, check = FALSE)
14. +-mlr3misc::invoke(PredictionSurv$new, check = check, .args = x)
15. | \-base::eval.parent(expr, n = 1L)
16. | \-base::eval(expr, p)
17. | \-base::eval(expr, p)
18. \-PredictionSurv$new(...)
19. \-mlr3proba initialize(...)
20. \-mlr3proba:::.__PredictionSurv__initialize(...)
21. \-private$.simplify_distr(distr)
22. \-mlr3proba:::.__PredictionSurv__.simplify_distr(...)
[ FAIL 23 | WARN 17 | SKIP 2 | PASS 1725 ]
Error: Test failures
Execution halted
Flavor: r-oldrel-windows-ix86+x86_64
Version: 0.4.4
Check: running tests for arch ‘x64’
Result: ERROR
Running 'testthat.R' [115s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("checkmate") # for more expect_*() functions
+ library("mlr3proba")
+ test_check("mlr3proba")
+ }
Loading required package: mlr3
[ FAIL 23 | WARN 17 | SKIP 2 | PASS 1725 ]
== Skipped tests ===============================================================
* On CRAN (2)
== Failed tests ================================================================
-- Failure (test_PredictionSurv.R:12:3): Internally constructed Prediction -----
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
x
1. \-global expect_prediction_surv(p) at test_PredictionSurv.R:12:2
2. \-checkmate::expect_class(p$distr, "VectorDistribution")
3. \-checkmate::makeExpectation(x, res, info, label)
4. \-testthat::expect_true(...)
-- Error (test_PredictionSurv.R:23:3): c ---------------------------------------
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
Backtrace:
x
1. +-base::do.call(c, preds) at test_PredictionSurv.R:23:2
2. +-base `<fn>`(`<PrdctnSr>`, `<PrdctnSr>`)
3. \-mlr3:::c.Prediction(`<PrdctnSr>`, `<PrdctnSr>`)
4. +-mlr3::as_prediction(pdata, check = FALSE)
5. \-mlr3proba:::as_prediction.PredictionDataSurv(pdata, check = FALSE)
6. +-mlr3misc::invoke(PredictionSurv$new, check = check, .args = x)
7. | \-base::eval.parent(expr, n = 1L)
8. | \-base::eval(expr, p)
9. | \-base::eval(expr, p)
10. \-PredictionSurv$new(...)
11. \-mlr3proba initialize(...)
12. \-mlr3proba:::.__PredictionSurv__initialize(...)
13. \-private$.simplify_distr(distr)
14. \-mlr3proba:::.__PredictionSurv__.simplify_distr(...)
-- Failure (test_PredictionSurv.R:52:3): data.frame roundtrip ------------------
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
x
1. \-global expect_prediction_surv(p2) at test_PredictionSurv.R:52:2
2. \-checkmate::expect_class(p$distr, "VectorDistribution")
3. \-checkmate::makeExpectation(x, res, info, label)
4. \-testthat::expect_true(...)
-- Failure (test_PredictionSurv.R:64:3): as_prediction_surv --------------------
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
x
1. \-global expect_prediction_surv(as_prediction_surv(as.data.table(p))) at test_PredictionSurv.R:64:2
2. \-checkmate::expect_class(p$distr, "VectorDistribution")
3. \-checkmate::makeExpectation(x, res, info, label)
4. \-testthat::expect_true(...)
-- Failure (test_PredictionSurv.R:70:3): filtering -----------------------------
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
x
1. \-global expect_prediction_surv(p) at test_PredictionSurv.R:70:2
2. \-checkmate::expect_class(p$distr, "VectorDistribution")
3. \-checkmate::makeExpectation(x, res, info, label)
4. \-testthat::expect_true(...)
-- Failure (test_mlr_measures.R:43:3): unintegrated_prob_losses ----------------
`prediction$score(msr)` produced warnings.
-- Failure (test_pipelines.R:11:3): crankcompositor ----------------------------
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
x
1. \-global expect_prediction_surv(p) at test_pipelines.R:11:2
2. \-checkmate::expect_class(p$distr, "VectorDistribution")
3. \-checkmate::makeExpectation(x, res, info, label)
4. \-testthat::expect_true(...)
-- Failure (test_pipelines.R:22:3): distrcompositor ----------------------------
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
x
1. \-global expect_prediction_surv(p) at test_pipelines.R:22:2
2. \-checkmate::expect_class(p$distr, "VectorDistribution")
3. \-checkmate::makeExpectation(x, res, info, label)
4. \-testthat::expect_true(...)
-- Failure (test_pipelines.R:68:3): survtoregr 1 -------------------------------
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
x
1. \-global expect_prediction_surv(p) at test_pipelines.R:68:2
2. \-checkmate::expect_class(p$distr, "VectorDistribution")
3. \-checkmate::makeExpectation(x, res, info, label)
4. \-testthat::expect_true(...)
-- Failure (test_pipelines.R:104:3): survtoregr 3 ------------------------------
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
x
1. \-global expect_prediction_surv(p) at test_pipelines.R:104:2
2. \-checkmate::expect_class(p$distr, "VectorDistribution")
3. \-checkmate::makeExpectation(x, res, info, label)
4. \-testthat::expect_true(...)
-- Failure (test_pipeop_crankcompositor.R:12:3): PipeOpCrankCompositor - estimate --
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
x
1. \-global expect_prediction_surv(p) at test_pipeop_crankcompositor.R:12:2
2. \-checkmate::expect_class(p$distr, "VectorDistribution")
3. \-checkmate::makeExpectation(x, res, info, label)
4. \-testthat::expect_true(...)
-- Failure (test_pipeop_crankcompositor.R:20:3): no params ---------------------
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
x
1. \-global expect_prediction_surv(p) at test_pipeop_crankcompositor.R:20:2
2. \-checkmate::expect_class(p$distr, "VectorDistribution")
3. \-checkmate::makeExpectation(x, res, info, label)
4. \-testthat::expect_true(...)
-- Error (test_pipeop_crankcompositor.R:26:3): response ------------------------
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
This happened PipeOp compose_crank's $predict()
Backtrace:
x
1. +-po$predict(list(lrn("surv.kaplan")$train(task)$predict(task))) at test_pipeop_crankcompositor.R:26:2
2. | \-mlr3pipelines:::.__PipeOp__predict(...)
3. | +-base::withCallingHandlers(...)
4. | \-private$.predict(input)
5. | \-mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
6. | \-PredictionSurv$new(...)
7. | \-mlr3proba initialize(...)
8. | \-mlr3proba:::.__PredictionSurv__initialize(...)
9. | \-private$.simplify_distr(distr)
10. | \-mlr3proba:::.__PredictionSurv__.simplify_distr(...)
11. | \-base::stop("'x' is not a 'VectorDistribution'")
12. \-base::.handleSimpleError(...)
13. \-mlr3pipelines h(simpleError(msg, call))
-- Error (test_pipeop_crankcompositor.R:49:3): overwrite crank -----------------
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
This happened PipeOp compose_crank's $predict()
Backtrace:
x
1. +-pl$train(task)$predict(task) at test_pipeop_crankcompositor.R:49:2
2. | \-mlr3:::.__Learner__predict(...)
3. | \-mlr3:::learner_predict(self, task, row_ids)
4. | \-mlr3misc::encapsulate(...)
5. | +-mlr3misc::invoke(...)
6. | | \-base::eval.parent(expr, n = 1L)
7. | | \-base::eval(expr, p)
8. | | \-base::eval(expr, p)
9. | \-mlr3 .f(task = `<TaskSurv>`, learner = `<GrphLrnr>`)
10. | \-get_private(learner)$.predict(task)
11. | \-mlr3pipelines:::.__GraphLearner__.predict(...)
12. | \-self$graph$predict(task)
13. | \-mlr3pipelines:::.__Graph__predict(...)
14. | \-mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
15. | \-op[[fun]](input)
16. | \-mlr3pipelines:::.__PipeOp__predict(...)
17. | +-base::withCallingHandlers(...)
18. | \-private$.predict(input)
19. | \-mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
20. | \-PredictionSurv$new(...)
21. | \-mlr3proba initialize(...)
22. | \-mlr3proba:::.__PredictionSurv__initialize(...)
23. | \-private$.simplify_distr(distr)
24. | \-mlr3proba:::.__PredictionSurv__.simplify_distr(...)
25. | \-base::stop("'x' is not a 'VectorDistribution'")
26. \-base::.handleSimpleError(...)
27. \-mlr3pipelines h(simpleError(msg, call))
-- Error (test_pipeop_crankcompositor.R:57:3): overwrite response --------------
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
Backtrace:
x
1. \-PredictionSurv$new(...) at test_pipeop_crankcompositor.R:57:2
2. \-mlr3proba initialize(...)
3. \-mlr3proba:::.__PredictionSurv__initialize(...)
4. \-private$.simplify_distr(distr)
5. \-mlr3proba:::.__PredictionSurv__.simplify_distr(...)
-- Error (test_pipeop_crankcompositor.R:76:3): neg crank -----------------------
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
This happened PipeOp compose_crank's $predict()
Backtrace:
x
1. +-pl$train(task)$predict(task) at test_pipeop_crankcompositor.R:76:2
2. | \-mlr3:::.__Learner__predict(...)
3. | \-mlr3:::learner_predict(self, task, row_ids)
4. | \-mlr3misc::encapsulate(...)
5. | +-mlr3misc::invoke(...)
6. | | \-base::eval.parent(expr, n = 1L)
7. | | \-base::eval(expr, p)
8. | | \-base::eval(expr, p)
9. | \-mlr3 .f(task = `<TaskSurv>`, learner = `<GrphLrnr>`)
10. | \-get_private(learner)$.predict(task)
11. | \-mlr3pipelines:::.__GraphLearner__.predict(...)
12. | \-self$graph$predict(task)
13. | \-mlr3pipelines:::.__Graph__predict(...)
14. | \-mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
15. | \-op[[fun]](input)
16. | \-mlr3pipelines:::.__PipeOp__predict(...)
17. | +-base::withCallingHandlers(...)
18. | \-private$.predict(input)
19. | \-mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
20. | \-PredictionSurv$new(...)
21. | \-mlr3proba initialize(...)
22. | \-mlr3proba:::.__PredictionSurv__initialize(...)
23. | \-private$.simplify_distr(distr)
24. | \-mlr3proba:::.__PredictionSurv__.simplify_distr(...)
25. | \-base::stop("'x' is not a 'VectorDistribution'")
26. \-base::.handleSimpleError(...)
27. \-mlr3pipelines h(simpleError(msg, call))
-- Failure (test_pipeop_distrcompositor.R:19:3): PipeOpDistrCompositor - overwrite = TRUE --
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
x
1. \-global expect_prediction_surv(p) at test_pipeop_distrcompositor.R:19:2
2. \-checkmate::expect_class(p$distr, "VectorDistribution")
3. \-checkmate::makeExpectation(x, res, info, label)
4. \-testthat::expect_true(...)
-- Failure (test_pipeop_distrcompositor.R:24:3): PipeOpDistrCompositor - overwrite = TRUE --
Check on p$distr is not TRUE
`actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
`expected` is a logical vector (TRUE)
Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
Backtrace:
x
1. \-global expect_prediction_surv(gr$train(task)$predict(task)) at test_pipeop_distrcompositor.R:24:2
2. \-checkmate::expect_class(p$distr, "VectorDistribution")
3. \-checkmate::makeExpectation(x, res, info, label)
4. \-testthat::expect_true(...)
-- Error (test_pipeop_survavg.R:19:3): equal weights ---------------------------
Error in `p$distr$cdf`: $ operator is invalid for atomic vectors
Backtrace:
x
1. \-testthat::expect_equal(...) at test_pipeop_survavg.R:19:2
2. \-testthat::quasi_label(enquo(object), label, arg = "object")
3. \-rlang::eval_bare(expr, quo_get_env(quo))
-- Error (test_pipeop_survavg.R:33:3): unequal weights -------------------------
Error in `p$distr$cdf`: $ operator is invalid for atomic vectors
Backtrace:
x
1. \-testthat::expect_equal(...) at test_pipeop_survavg.R:33:2
2. \-testthat::quasi_label(enquo(object), label, arg = "object")
3. \-rlang::eval_bare(expr, quo_get_env(quo))
-- Error (test_pipeop_survavg.R:47:3): response --------------------------------
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
This happened PipeOp compose_crank's $predict()
Backtrace:
x
1. +-mlr3pipelines::ppl("crankcompositor", lrn("surv.kaplan"), response = TRUE, ... at test_pipeop_survavg.R:47:2
2. | \-mlr3:::.__Learner__predict(...)
3. | \-mlr3:::learner_predict(self, task, row_ids)
4. | \-mlr3misc::encapsulate(...)
5. | +-mlr3misc::invoke(...)
6. | | \-base::eval.parent(expr, n = 1L)
7. | | \-base::eval(expr, p)
8. | | \-base::eval(expr, p)
9. | \-mlr3 .f(task = `<TaskSurv>`, learner = `<GrphLrnr>`)
10. | \-get_private(learner)$.predict(task)
11. | \-mlr3pipelines:::.__GraphLearner__.predict(...)
12. | \-self$graph$predict(task)
13. | \-mlr3pipelines:::.__Graph__predict(...)
14. | \-mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
15. | \-op[[fun]](input)
16. | \-mlr3pipelines:::.__PipeOp__predict(...)
17. | +-base::withCallingHandlers(...)
18. | \-private$.predict(input)
19. | \-mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
20. | \-PredictionSurv$new(...)
21. | \-mlr3proba initialize(...)
22. | \-mlr3proba:::.__PredictionSurv__initialize(...)
23. | \-private$.simplify_distr(distr)
24. | \-mlr3proba:::.__PredictionSurv__.simplify_distr(...)
25. | \-base::stop("'x' is not a 'VectorDistribution'")
26. \-base::.handleSimpleError(...)
27. \-mlr3pipelines h(simpleError(msg, call))
-- Error (test_pipeop_survavg.R:65:3): surv_averager ---------------------------
Error in `p$distr$cdf`: $ operator is invalid for atomic vectors
Backtrace:
x
1. \-testthat::expect_equal(p$distr$cdf(1:3), p2$distr$cdf(1:3)) at test_pipeop_survavg.R:65:2
2. \-testthat::quasi_label(enquo(object), label, arg = "object")
3. \-rlang::eval_bare(expr, quo_get_env(quo))
-- Error (test_resample.R:9:3): resample-step ----------------------------------
Error in `.__PredictionSurv__.simplify_distr(self = self, private = private,
super = super, x = x)`: 'x' is not a 'VectorDistribution'
Backtrace:
x
1. \-global expect_resample_result(rr) at test_resample.R:9:2
2. +-global expect_prediction(rr$prediction())
3. | \-checkmate::expect_r6(...)
4. | \-checkmate::checkR6(...)
5. \-rr$prediction()
6. \-mlr3:::.__ResampleResult__prediction(...)
7. \-private$.data$prediction(private$.view, predict_sets)
8. \-mlr3:::.__ResultData__prediction(...)
9. +-base::do.call(c, self$predictions(view = view, predict_sets = predict_sets))
10. +-base `<fn>`(`<PrdctnSr>`, `<PrdctnSr>`, `<PrdctnSr>`)
11. \-mlr3:::c.Prediction(`<PrdctnSr>`, `<PrdctnSr>`, `<PrdctnSr>`)
12. +-mlr3::as_prediction(pdata, check = FALSE)
13. \-mlr3proba:::as_prediction.PredictionDataSurv(pdata, check = FALSE)
14. +-mlr3misc::invoke(PredictionSurv$new, check = check, .args = x)
15. | \-base::eval.parent(expr, n = 1L)
16. | \-base::eval(expr, p)
17. | \-base::eval(expr, p)
18. \-PredictionSurv$new(...)
19. \-mlr3proba initialize(...)
20. \-mlr3proba:::.__PredictionSurv__initialize(...)
21. \-private$.simplify_distr(distr)
22. \-mlr3proba:::.__PredictionSurv__.simplify_distr(...)
[ FAIL 23 | WARN 17 | SKIP 2 | PASS 1725 ]
Error: Test failures
Execution halted
Flavor: r-oldrel-windows-ix86+x86_64