CRAN Package Check Results for Package mlr3viz

Last updated on 2020-09-17 02:08:17 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.2.0 4.86 87.63 92.49 ERROR
r-devel-linux-x86_64-debian-gcc 0.2.0 4.26 63.74 68.00 ERROR
r-devel-linux-x86_64-fedora-clang 0.2.0 114.22 ERROR
r-devel-linux-x86_64-fedora-gcc 0.2.0 95.71 ERROR
r-devel-windows-ix86+x86_64 0.2.0 14.00 132.00 146.00 OK
r-patched-linux-x86_64 0.2.0 5.05 76.87 81.92 ERROR
r-patched-solaris-x86 0.2.0 126.50 ERROR
r-release-linux-x86_64 0.2.0 4.80 79.43 84.23 ERROR
r-release-macos-x86_64 0.2.0 OK
r-release-windows-ix86+x86_64 0.2.0 13.00 131.00 144.00 OK
r-oldrel-macos-x86_64 0.2.0 OK
r-oldrel-windows-ix86+x86_64 0.2.0 20.00 131.00 151.00 OK

Check Details

Version: 0.2.0
Check: examples
Result: ERROR
    Running examples in 'mlr3viz-Ex.R' failed
    The error most likely occurred in:
    
    > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
    > ### Name: autoplot.BenchmarkResult
    > ### Title: Plot for BenchmarkResult
    > ### Aliases: autoplot.BenchmarkResult
    >
    > ### ** Examples
    >
    > library(mlr3)
    > library(mlr3viz)
    >
    > tasks = tsks(c("spam", "pima", "sonar"))
    > learner = lrns(c("classif.featureless", "classif.rpart"),
    + predict_type = "prob")
    > resampling = rsmps("cv")
    > object = benchmark(benchmark_grid(tasks, learner, resampling))
    INFO [01:50:56.382] Benchmark with 60 resampling iterations
    INFO [01:50:56.606] Applying learner 'classif.featureless' on task 'spam' (iter 1/10)
    INFO [01:50:56.667] Applying learner 'classif.featureless' on task 'spam' (iter 2/10)
    INFO [01:50:56.693] Applying learner 'classif.featureless' on task 'spam' (iter 3/10)
    INFO [01:50:56.716] Applying learner 'classif.featureless' on task 'spam' (iter 4/10)
    INFO [01:50:56.751] Applying learner 'classif.featureless' on task 'spam' (iter 5/10)
    INFO [01:50:56.792] Applying learner 'classif.featureless' on task 'spam' (iter 6/10)
    INFO [01:50:56.831] Applying learner 'classif.featureless' on task 'spam' (iter 7/10)
    INFO [01:50:56.871] Applying learner 'classif.featureless' on task 'spam' (iter 8/10)
    INFO [01:50:56.907] Applying learner 'classif.featureless' on task 'spam' (iter 9/10)
    INFO [01:50:56.947] Applying learner 'classif.featureless' on task 'spam' (iter 10/10)
    INFO [01:50:56.987] Applying learner 'classif.rpart' on task 'spam' (iter 1/10)
    INFO [01:50:57.154] Applying learner 'classif.rpart' on task 'spam' (iter 2/10)
    INFO [01:50:57.322] Applying learner 'classif.rpart' on task 'spam' (iter 3/10)
    INFO [01:50:57.493] Applying learner 'classif.rpart' on task 'spam' (iter 4/10)
    INFO [01:50:57.673] Applying learner 'classif.rpart' on task 'spam' (iter 5/10)
    INFO [01:50:57.853] Applying learner 'classif.rpart' on task 'spam' (iter 6/10)
    INFO [01:50:57.973] Applying learner 'classif.rpart' on task 'spam' (iter 7/10)
    INFO [01:50:58.093] Applying learner 'classif.rpart' on task 'spam' (iter 8/10)
    INFO [01:50:58.224] Applying learner 'classif.rpart' on task 'spam' (iter 9/10)
    INFO [01:50:58.352] Applying learner 'classif.rpart' on task 'spam' (iter 10/10)
    INFO [01:50:58.483] Applying learner 'classif.featureless' on task 'pima' (iter 1/10)
    INFO [01:50:58.502] Applying learner 'classif.featureless' on task 'pima' (iter 2/10)
    INFO [01:50:58.522] Applying learner 'classif.featureless' on task 'pima' (iter 3/10)
    INFO [01:50:58.541] Applying learner 'classif.featureless' on task 'pima' (iter 4/10)
    INFO [01:50:58.560] Applying learner 'classif.featureless' on task 'pima' (iter 5/10)
    INFO [01:50:58.580] Applying learner 'classif.featureless' on task 'pima' (iter 6/10)
    INFO [01:50:58.599] Applying learner 'classif.featureless' on task 'pima' (iter 7/10)
    INFO [01:50:58.617] Applying learner 'classif.featureless' on task 'pima' (iter 8/10)
    INFO [01:50:58.643] Applying learner 'classif.featureless' on task 'pima' (iter 9/10)
    INFO [01:50:58.662] Applying learner 'classif.featureless' on task 'pima' (iter 10/10)
    INFO [01:50:58.682] Applying learner 'classif.rpart' on task 'pima' (iter 1/10)
    INFO [01:50:58.716] Applying learner 'classif.rpart' on task 'pima' (iter 2/10)
    INFO [01:50:58.765] Applying learner 'classif.rpart' on task 'pima' (iter 3/10)
    INFO [01:50:58.817] Applying learner 'classif.rpart' on task 'pima' (iter 4/10)
    INFO [01:50:58.892] Applying learner 'classif.rpart' on task 'pima' (iter 5/10)
    INFO [01:50:58.928] Applying learner 'classif.rpart' on task 'pima' (iter 6/10)
    INFO [01:50:58.962] Applying learner 'classif.rpart' on task 'pima' (iter 7/10)
    INFO [01:50:58.996] Applying learner 'classif.rpart' on task 'pima' (iter 8/10)
    INFO [01:50:59.071] Applying learner 'classif.rpart' on task 'pima' (iter 9/10)
    INFO [01:50:59.105] Applying learner 'classif.rpart' on task 'pima' (iter 10/10)
    INFO [01:50:59.141] Applying learner 'classif.featureless' on task 'sonar' (iter 1/10)
    INFO [01:50:59.162] Applying learner 'classif.featureless' on task 'sonar' (iter 2/10)
    INFO [01:50:59.182] Applying learner 'classif.featureless' on task 'sonar' (iter 3/10)
    INFO [01:50:59.200] Applying learner 'classif.featureless' on task 'sonar' (iter 4/10)
    INFO [01:50:59.220] Applying learner 'classif.featureless' on task 'sonar' (iter 5/10)
    INFO [01:50:59.246] Applying learner 'classif.featureless' on task 'sonar' (iter 6/10)
    INFO [01:50:59.265] Applying learner 'classif.featureless' on task 'sonar' (iter 7/10)
    INFO [01:50:59.285] Applying learner 'classif.featureless' on task 'sonar' (iter 8/10)
    INFO [01:50:59.304] Applying learner 'classif.featureless' on task 'sonar' (iter 9/10)
    INFO [01:50:59.322] Applying learner 'classif.featureless' on task 'sonar' (iter 10/10)
    INFO [01:50:59.342] Applying learner 'classif.rpart' on task 'sonar' (iter 1/10)
    INFO [01:50:59.404] Applying learner 'classif.rpart' on task 'sonar' (iter 2/10)
    INFO [01:50:59.455] Applying learner 'classif.rpart' on task 'sonar' (iter 3/10)
    INFO [01:50:59.506] Applying learner 'classif.rpart' on task 'sonar' (iter 4/10)
    INFO [01:50:59.563] Applying learner 'classif.rpart' on task 'sonar' (iter 5/10)
    INFO [01:50:59.622] Applying learner 'classif.rpart' on task 'sonar' (iter 6/10)
    INFO [01:50:59.714] Applying learner 'classif.rpart' on task 'sonar' (iter 7/10)
    INFO [01:50:59.818] Applying learner 'classif.rpart' on task 'sonar' (iter 8/10)
    INFO [01:50:59.940] Applying learner 'classif.rpart' on task 'sonar' (iter 9/10)
    INFO [01:51:00.005] Applying learner 'classif.rpart' on task 'sonar' (iter 10/10)
    INFO [01:51:00.059] Finished benchmark
    >
    > head(fortify(object))
    Error: $ operator is invalid for atomic vectors
    Execution halted
Flavor: r-devel-linux-x86_64-debian-clang

Version: 0.2.0
Check: tests
Result: ERROR
     Running 'testthat.R' [34s/26s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(mlr3viz)
     >
     > test_check("mlr3viz")
     -- 1. Error: fortify BenchmarkResult (@test_BenchmarkResult.R#10) -------------
     $ operator is invalid for atomic vectors
     Backtrace:
     1. ggplot2::fortify(bmr, measure = msr("classif.ce"))
     2. mlr3viz:::fortify.BenchmarkResult(bmr, measure = msr("classif.ce"))
     3. mlr3::assert_measure(...)
    
     -- 2. Error: autoplot BenchmarkResult (@test_BenchmarkResult.R#18) ------------
     $ operator is invalid for atomic vectors
     Backtrace:
     1. ggplot2::autoplot(bmr, measure = msr("classif.ce"))
     2. mlr3viz:::autoplot.BenchmarkResult(bmr, measure = msr("classif.ce"))
     3. mlr3::assert_measure(...)
    
     == testthat results ===========================================================
     [ OK: 89 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 2 ]
     1. Error: fortify BenchmarkResult (@test_BenchmarkResult.R#10)
     2. Error: autoplot BenchmarkResult (@test_BenchmarkResult.R#18)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-devel-linux-x86_64-debian-clang

Version: 0.2.0
Check: examples
Result: ERROR
    Running examples in ‘mlr3viz-Ex.R’ failed
    The error most likely occurred in:
    
    > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
    > ### Name: autoplot.BenchmarkResult
    > ### Title: Plot for BenchmarkResult
    > ### Aliases: autoplot.BenchmarkResult
    >
    > ### ** Examples
    >
    > library(mlr3)
    > library(mlr3viz)
    >
    > tasks = tsks(c("spam", "pima", "sonar"))
    > learner = lrns(c("classif.featureless", "classif.rpart"),
    + predict_type = "prob")
    > resampling = rsmps("cv")
    > object = benchmark(benchmark_grid(tasks, learner, resampling))
    INFO [22:49:51.276] Benchmark with 60 resampling iterations
    INFO [22:49:51.447] Applying learner 'classif.featureless' on task 'spam' (iter 1/10)
    INFO [22:49:51.521] Applying learner 'classif.featureless' on task 'spam' (iter 2/10)
    INFO [22:49:51.569] Applying learner 'classif.featureless' on task 'spam' (iter 3/10)
    INFO [22:49:51.617] Applying learner 'classif.featureless' on task 'spam' (iter 4/10)
    INFO [22:49:51.652] Applying learner 'classif.featureless' on task 'spam' (iter 5/10)
    INFO [22:49:51.686] Applying learner 'classif.featureless' on task 'spam' (iter 6/10)
    INFO [22:49:51.721] Applying learner 'classif.featureless' on task 'spam' (iter 7/10)
    INFO [22:49:51.754] Applying learner 'classif.featureless' on task 'spam' (iter 8/10)
    INFO [22:49:51.789] Applying learner 'classif.featureless' on task 'spam' (iter 9/10)
    INFO [22:49:51.829] Applying learner 'classif.featureless' on task 'spam' (iter 10/10)
    INFO [22:49:51.879] Applying learner 'classif.rpart' on task 'spam' (iter 1/10)
    INFO [22:49:52.495] Applying learner 'classif.rpart' on task 'spam' (iter 2/10)
    INFO [22:49:53.026] Applying learner 'classif.rpart' on task 'spam' (iter 3/10)
    INFO [22:49:53.201] Applying learner 'classif.rpart' on task 'spam' (iter 4/10)
    INFO [22:49:53.620] Applying learner 'classif.rpart' on task 'spam' (iter 5/10)
    INFO [22:49:53.838] Applying learner 'classif.rpart' on task 'spam' (iter 6/10)
    INFO [22:49:54.261] Applying learner 'classif.rpart' on task 'spam' (iter 7/10)
    INFO [22:49:54.793] Applying learner 'classif.rpart' on task 'spam' (iter 8/10)
    INFO [22:49:55.280] Applying learner 'classif.rpart' on task 'spam' (iter 9/10)
    INFO [22:49:55.832] Applying learner 'classif.rpart' on task 'spam' (iter 10/10)
    INFO [22:49:56.370] Applying learner 'classif.featureless' on task 'pima' (iter 1/10)
    INFO [22:49:56.401] Applying learner 'classif.featureless' on task 'pima' (iter 2/10)
    INFO [22:49:56.432] Applying learner 'classif.featureless' on task 'pima' (iter 3/10)
    INFO [22:49:56.462] Applying learner 'classif.featureless' on task 'pima' (iter 4/10)
    INFO [22:49:56.485] Applying learner 'classif.featureless' on task 'pima' (iter 5/10)
    INFO [22:49:56.516] Applying learner 'classif.featureless' on task 'pima' (iter 6/10)
    INFO [22:49:56.547] Applying learner 'classif.featureless' on task 'pima' (iter 7/10)
    INFO [22:49:56.578] Applying learner 'classif.featureless' on task 'pima' (iter 8/10)
    INFO [22:49:56.613] Applying learner 'classif.featureless' on task 'pima' (iter 9/10)
    INFO [22:49:56.644] Applying learner 'classif.featureless' on task 'pima' (iter 10/10)
    INFO [22:49:56.675] Applying learner 'classif.rpart' on task 'pima' (iter 1/10)
    INFO [22:49:56.745] Applying learner 'classif.rpart' on task 'pima' (iter 2/10)
    INFO [22:49:56.795] Applying learner 'classif.rpart' on task 'pima' (iter 3/10)
    INFO [22:49:56.826] Applying learner 'classif.rpart' on task 'pima' (iter 4/10)
    INFO [22:49:56.915] Applying learner 'classif.rpart' on task 'pima' (iter 5/10)
    INFO [22:49:56.959] Applying learner 'classif.rpart' on task 'pima' (iter 6/10)
    INFO [22:49:57.017] Applying learner 'classif.rpart' on task 'pima' (iter 7/10)
    INFO [22:49:57.077] Applying learner 'classif.rpart' on task 'pima' (iter 8/10)
    INFO [22:49:57.174] Applying learner 'classif.rpart' on task 'pima' (iter 9/10)
    INFO [22:49:57.217] Applying learner 'classif.rpart' on task 'pima' (iter 10/10)
    INFO [22:49:57.276] Applying learner 'classif.featureless' on task 'sonar' (iter 1/10)
    INFO [22:49:57.307] Applying learner 'classif.featureless' on task 'sonar' (iter 2/10)
    INFO [22:49:57.334] Applying learner 'classif.featureless' on task 'sonar' (iter 3/10)
    INFO [22:49:57.364] Applying learner 'classif.featureless' on task 'sonar' (iter 4/10)
    INFO [22:49:57.377] Applying learner 'classif.featureless' on task 'sonar' (iter 5/10)
    INFO [22:49:57.429] Applying learner 'classif.featureless' on task 'sonar' (iter 6/10)
    INFO [22:49:57.460] Applying learner 'classif.featureless' on task 'sonar' (iter 7/10)
    INFO [22:49:57.490] Applying learner 'classif.featureless' on task 'sonar' (iter 8/10)
    INFO [22:49:57.505] Applying learner 'classif.featureless' on task 'sonar' (iter 9/10)
    INFO [22:49:57.535] Applying learner 'classif.featureless' on task 'sonar' (iter 10/10)
    INFO [22:49:57.566] Applying learner 'classif.rpart' on task 'sonar' (iter 1/10)
    INFO [22:49:57.658] Applying learner 'classif.rpart' on task 'sonar' (iter 2/10)
    INFO [22:49:57.737] Applying learner 'classif.rpart' on task 'sonar' (iter 3/10)
    INFO [22:49:57.824] Applying learner 'classif.rpart' on task 'sonar' (iter 4/10)
    INFO [22:49:57.884] Applying learner 'classif.rpart' on task 'sonar' (iter 5/10)
    INFO [22:49:57.923] Applying learner 'classif.rpart' on task 'sonar' (iter 6/10)
    INFO [22:49:57.967] Applying learner 'classif.rpart' on task 'sonar' (iter 7/10)
    INFO [22:49:58.005] Applying learner 'classif.rpart' on task 'sonar' (iter 8/10)
    INFO [22:49:58.046] Applying learner 'classif.rpart' on task 'sonar' (iter 9/10)
    INFO [22:49:58.140] Applying learner 'classif.rpart' on task 'sonar' (iter 10/10)
    INFO [22:49:58.212] Finished benchmark
    >
    > head(fortify(object))
    Error: $ operator is invalid for atomic vectors
    Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.2.0
Check: tests
Result: ERROR
     Running ‘testthat.R’ [24s/30s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(mlr3viz)
     >
     > test_check("mlr3viz")
     ── 1. Error: fortify BenchmarkResult (@test_BenchmarkResult.R#10) ─────────────
     $ operator is invalid for atomic vectors
     Backtrace:
     1. ggplot2::fortify(bmr, measure = msr("classif.ce"))
     2. mlr3viz:::fortify.BenchmarkResult(bmr, measure = msr("classif.ce"))
     3. mlr3::assert_measure(...)
    
     ── 2. Error: autoplot BenchmarkResult (@test_BenchmarkResult.R#18) ────────────
     $ operator is invalid for atomic vectors
     Backtrace:
     1. ggplot2::autoplot(bmr, measure = msr("classif.ce"))
     2. mlr3viz:::autoplot.BenchmarkResult(bmr, measure = msr("classif.ce"))
     3. mlr3::assert_measure(...)
    
     ══ testthat results ═══════════════════════════════════════════════════════════
     [ OK: 89 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 2 ]
     1. Error: fortify BenchmarkResult (@test_BenchmarkResult.R#10)
     2. Error: autoplot BenchmarkResult (@test_BenchmarkResult.R#18)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.2.0
Check: examples
Result: ERROR
    Running examples in ‘mlr3viz-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: autoplot.BenchmarkResult
    > ### Title: Plot for BenchmarkResult
    > ### Aliases: autoplot.BenchmarkResult
    >
    > ### ** Examples
    >
    > library(mlr3)
    > library(mlr3viz)
    >
    > tasks = tsks(c("spam", "pima", "sonar"))
    > learner = lrns(c("classif.featureless", "classif.rpart"),
    + predict_type = "prob")
    > resampling = rsmps("cv")
    > object = benchmark(benchmark_grid(tasks, learner, resampling))
    INFO [20:34:00.289] Benchmark with 60 resampling iterations
    INFO [20:34:00.696] Applying learner 'classif.featureless' on task 'spam' (iter 1/10)
    INFO [20:34:00.808] Applying learner 'classif.featureless' on task 'spam' (iter 2/10)
    INFO [20:34:00.856] Applying learner 'classif.featureless' on task 'spam' (iter 3/10)
    INFO [20:34:00.900] Applying learner 'classif.featureless' on task 'spam' (iter 4/10)
    INFO [20:34:00.965] Applying learner 'classif.featureless' on task 'spam' (iter 5/10)
    INFO [20:34:01.099] Applying learner 'classif.featureless' on task 'spam' (iter 6/10)
    INFO [20:34:01.179] Applying learner 'classif.featureless' on task 'spam' (iter 7/10)
    INFO [20:34:01.250] Applying learner 'classif.featureless' on task 'spam' (iter 8/10)
    INFO [20:34:01.323] Applying learner 'classif.featureless' on task 'spam' (iter 9/10)
    INFO [20:34:01.395] Applying learner 'classif.featureless' on task 'spam' (iter 10/10)
    INFO [20:34:01.468] Applying learner 'classif.rpart' on task 'spam' (iter 1/10)
    INFO [20:34:01.989] Applying learner 'classif.rpart' on task 'spam' (iter 2/10)
    INFO [20:34:02.404] Applying learner 'classif.rpart' on task 'spam' (iter 3/10)
    INFO [20:34:02.840] Applying learner 'classif.rpart' on task 'spam' (iter 4/10)
    INFO [20:34:03.240] Applying learner 'classif.rpart' on task 'spam' (iter 5/10)
    INFO [20:34:03.595] Applying learner 'classif.rpart' on task 'spam' (iter 6/10)
    INFO [20:34:03.923] Applying learner 'classif.rpart' on task 'spam' (iter 7/10)
    INFO [20:34:04.442] Applying learner 'classif.rpart' on task 'spam' (iter 8/10)
    INFO [20:34:04.818] Applying learner 'classif.rpart' on task 'spam' (iter 9/10)
    INFO [20:34:05.195] Applying learner 'classif.rpart' on task 'spam' (iter 10/10)
    INFO [20:34:05.529] Applying learner 'classif.featureless' on task 'pima' (iter 1/10)
    INFO [20:34:05.566] Applying learner 'classif.featureless' on task 'pima' (iter 2/10)
    INFO [20:34:05.608] Applying learner 'classif.featureless' on task 'pima' (iter 3/10)
    INFO [20:34:05.654] Applying learner 'classif.featureless' on task 'pima' (iter 4/10)
    INFO [20:34:05.721] Applying learner 'classif.featureless' on task 'pima' (iter 5/10)
    INFO [20:34:05.781] Applying learner 'classif.featureless' on task 'pima' (iter 6/10)
    INFO [20:34:05.839] Applying learner 'classif.featureless' on task 'pima' (iter 7/10)
    INFO [20:34:05.903] Applying learner 'classif.featureless' on task 'pima' (iter 8/10)
    INFO [20:34:05.960] Applying learner 'classif.featureless' on task 'pima' (iter 9/10)
    INFO [20:34:06.024] Applying learner 'classif.featureless' on task 'pima' (iter 10/10)
    INFO [20:34:06.073] Applying learner 'classif.rpart' on task 'pima' (iter 1/10)
    INFO [20:34:06.161] Applying learner 'classif.rpart' on task 'pima' (iter 2/10)
    INFO [20:34:06.264] Applying learner 'classif.rpart' on task 'pima' (iter 3/10)
    INFO [20:34:06.367] Applying learner 'classif.rpart' on task 'pima' (iter 4/10)
    INFO [20:34:06.452] Applying learner 'classif.rpart' on task 'pima' (iter 5/10)
    INFO [20:34:06.524] Applying learner 'classif.rpart' on task 'pima' (iter 6/10)
    INFO [20:34:06.714] Applying learner 'classif.rpart' on task 'pima' (iter 7/10)
    INFO [20:34:06.815] Applying learner 'classif.rpart' on task 'pima' (iter 8/10)
    INFO [20:34:06.899] Applying learner 'classif.rpart' on task 'pima' (iter 9/10)
    INFO [20:34:06.983] Applying learner 'classif.rpart' on task 'pima' (iter 10/10)
    INFO [20:34:07.091] Applying learner 'classif.featureless' on task 'sonar' (iter 1/10)
    INFO [20:34:07.152] Applying learner 'classif.featureless' on task 'sonar' (iter 2/10)
    INFO [20:34:07.192] Applying learner 'classif.featureless' on task 'sonar' (iter 3/10)
    INFO [20:34:07.229] Applying learner 'classif.featureless' on task 'sonar' (iter 4/10)
    INFO [20:34:07.288] Applying learner 'classif.featureless' on task 'sonar' (iter 5/10)
    INFO [20:34:07.354] Applying learner 'classif.featureless' on task 'sonar' (iter 6/10)
    INFO [20:34:07.416] Applying learner 'classif.featureless' on task 'sonar' (iter 7/10)
    INFO [20:34:07.466] Applying learner 'classif.featureless' on task 'sonar' (iter 8/10)
    INFO [20:34:07.538] Applying learner 'classif.featureless' on task 'sonar' (iter 9/10)
    INFO [20:34:07.630] Applying learner 'classif.featureless' on task 'sonar' (iter 10/10)
    INFO [20:34:07.708] Applying learner 'classif.rpart' on task 'sonar' (iter 1/10)
    INFO [20:34:07.886] Applying learner 'classif.rpart' on task 'sonar' (iter 2/10)
    INFO [20:34:08.049] Applying learner 'classif.rpart' on task 'sonar' (iter 3/10)
    INFO [20:34:08.233] Applying learner 'classif.rpart' on task 'sonar' (iter 4/10)
    INFO [20:34:08.390] Applying learner 'classif.rpart' on task 'sonar' (iter 5/10)
    INFO [20:34:08.626] Applying learner 'classif.rpart' on task 'sonar' (iter 6/10)
    INFO [20:34:08.786] Applying learner 'classif.rpart' on task 'sonar' (iter 7/10)
    INFO [20:34:08.953] Applying learner 'classif.rpart' on task 'sonar' (iter 8/10)
    INFO [20:34:09.102] Applying learner 'classif.rpart' on task 'sonar' (iter 9/10)
    INFO [20:34:09.253] Applying learner 'classif.rpart' on task 'sonar' (iter 10/10)
    INFO [20:34:09.412] Finished benchmark
    >
    > head(fortify(object))
    Error: $ operator is invalid for atomic vectors
    Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.2.0
Check: tests
Result: ERROR
     Running ‘testthat.R’ [34s/49s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(mlr3viz)
     >
     > test_check("mlr3viz")
     ── 1. Error: fortify BenchmarkResult (@test_BenchmarkResult.R#10) ─────────────
     $ operator is invalid for atomic vectors
     Backtrace:
     1. ggplot2::fortify(bmr, measure = msr("classif.ce"))
     2. mlr3viz:::fortify.BenchmarkResult(bmr, measure = msr("classif.ce"))
     3. mlr3::assert_measure(...)
    
     ── 2. Error: autoplot BenchmarkResult (@test_BenchmarkResult.R#18) ────────────
     $ operator is invalid for atomic vectors
     Backtrace:
     1. ggplot2::autoplot(bmr, measure = msr("classif.ce"))
     2. mlr3viz:::autoplot.BenchmarkResult(bmr, measure = msr("classif.ce"))
     3. mlr3::assert_measure(...)
    
     ══ testthat results ═══════════════════════════════════════════════════════════
     [ OK: 89 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 2 ]
     1. Error: fortify BenchmarkResult (@test_BenchmarkResult.R#10)
     2. Error: autoplot BenchmarkResult (@test_BenchmarkResult.R#18)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.2.0
Check: examples
Result: ERROR
    Running examples in ‘mlr3viz-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: autoplot.BenchmarkResult
    > ### Title: Plot for BenchmarkResult
    > ### Aliases: autoplot.BenchmarkResult
    >
    > ### ** Examples
    >
    > library(mlr3)
    > library(mlr3viz)
    >
    > tasks = tsks(c("spam", "pima", "sonar"))
    > learner = lrns(c("classif.featureless", "classif.rpart"),
    + predict_type = "prob")
    > resampling = rsmps("cv")
    > object = benchmark(benchmark_grid(tasks, learner, resampling))
    INFO [21:13:03.346] Benchmark with 60 resampling iterations
    INFO [21:13:03.555] Applying learner 'classif.featureless' on task 'spam' (iter 1/10)
    INFO [21:13:03.614] Applying learner 'classif.featureless' on task 'spam' (iter 2/10)
    INFO [21:13:03.642] Applying learner 'classif.featureless' on task 'spam' (iter 3/10)
    INFO [21:13:03.665] Applying learner 'classif.featureless' on task 'spam' (iter 4/10)
    INFO [21:13:03.688] Applying learner 'classif.featureless' on task 'spam' (iter 5/10)
    INFO [21:13:03.711] Applying learner 'classif.featureless' on task 'spam' (iter 6/10)
    INFO [21:13:03.733] Applying learner 'classif.featureless' on task 'spam' (iter 7/10)
    INFO [21:13:03.760] Applying learner 'classif.featureless' on task 'spam' (iter 8/10)
    INFO [21:13:03.781] Applying learner 'classif.featureless' on task 'spam' (iter 9/10)
    INFO [21:13:03.814] Applying learner 'classif.featureless' on task 'spam' (iter 10/10)
    INFO [21:13:03.840] Applying learner 'classif.rpart' on task 'spam' (iter 1/10)
    INFO [21:13:04.051] Applying learner 'classif.rpart' on task 'spam' (iter 2/10)
    INFO [21:13:04.508] Applying learner 'classif.rpart' on task 'spam' (iter 3/10)
    INFO [21:13:04.906] Applying learner 'classif.rpart' on task 'spam' (iter 4/10)
    INFO [21:13:05.202] Applying learner 'classif.rpart' on task 'spam' (iter 5/10)
    INFO [21:13:05.362] Applying learner 'classif.rpart' on task 'spam' (iter 6/10)
    INFO [21:13:05.774] Applying learner 'classif.rpart' on task 'spam' (iter 7/10)
    INFO [21:13:06.210] Applying learner 'classif.rpart' on task 'spam' (iter 8/10)
    INFO [21:13:06.385] Applying learner 'classif.rpart' on task 'spam' (iter 9/10)
    INFO [21:13:06.634] Applying learner 'classif.rpart' on task 'spam' (iter 10/10)
    INFO [21:13:06.828] Applying learner 'classif.featureless' on task 'pima' (iter 1/10)
    INFO [21:13:06.850] Applying learner 'classif.featureless' on task 'pima' (iter 2/10)
    INFO [21:13:06.873] Applying learner 'classif.featureless' on task 'pima' (iter 3/10)
    INFO [21:13:06.899] Applying learner 'classif.featureless' on task 'pima' (iter 4/10)
    INFO [21:13:06.923] Applying learner 'classif.featureless' on task 'pima' (iter 5/10)
    INFO [21:13:06.946] Applying learner 'classif.featureless' on task 'pima' (iter 6/10)
    INFO [21:13:06.968] Applying learner 'classif.featureless' on task 'pima' (iter 7/10)
    INFO [21:13:06.993] Applying learner 'classif.featureless' on task 'pima' (iter 8/10)
    INFO [21:13:07.017] Applying learner 'classif.featureless' on task 'pima' (iter 9/10)
    INFO [21:13:07.039] Applying learner 'classif.featureless' on task 'pima' (iter 10/10)
    INFO [21:13:07.067] Applying learner 'classif.rpart' on task 'pima' (iter 1/10)
    INFO [21:13:07.154] Applying learner 'classif.rpart' on task 'pima' (iter 2/10)
    INFO [21:13:07.215] Applying learner 'classif.rpart' on task 'pima' (iter 3/10)
    INFO [21:13:07.259] Applying learner 'classif.rpart' on task 'pima' (iter 4/10)
    INFO [21:13:07.300] Applying learner 'classif.rpart' on task 'pima' (iter 5/10)
    INFO [21:13:07.347] Applying learner 'classif.rpart' on task 'pima' (iter 6/10)
    INFO [21:13:07.398] Applying learner 'classif.rpart' on task 'pima' (iter 7/10)
    INFO [21:13:07.437] Applying learner 'classif.rpart' on task 'pima' (iter 8/10)
    INFO [21:13:07.477] Applying learner 'classif.rpart' on task 'pima' (iter 9/10)
    INFO [21:13:07.517] Applying learner 'classif.rpart' on task 'pima' (iter 10/10)
    INFO [21:13:07.556] Applying learner 'classif.featureless' on task 'sonar' (iter 1/10)
    INFO [21:13:07.578] Applying learner 'classif.featureless' on task 'sonar' (iter 2/10)
    INFO [21:13:07.602] Applying learner 'classif.featureless' on task 'sonar' (iter 3/10)
    INFO [21:13:07.623] Applying learner 'classif.featureless' on task 'sonar' (iter 4/10)
    INFO [21:13:07.643] Applying learner 'classif.featureless' on task 'sonar' (iter 5/10)
    INFO [21:13:07.663] Applying learner 'classif.featureless' on task 'sonar' (iter 6/10)
    INFO [21:13:07.684] Applying learner 'classif.featureless' on task 'sonar' (iter 7/10)
    INFO [21:13:07.706] Applying learner 'classif.featureless' on task 'sonar' (iter 8/10)
    INFO [21:13:07.727] Applying learner 'classif.featureless' on task 'sonar' (iter 9/10)
    INFO [21:13:07.747] Applying learner 'classif.featureless' on task 'sonar' (iter 10/10)
    INFO [21:13:07.769] Applying learner 'classif.rpart' on task 'sonar' (iter 1/10)
    INFO [21:13:07.841] Applying learner 'classif.rpart' on task 'sonar' (iter 2/10)
    INFO [21:13:07.914] Applying learner 'classif.rpart' on task 'sonar' (iter 3/10)
    INFO [21:13:07.979] Applying learner 'classif.rpart' on task 'sonar' (iter 4/10)
    INFO [21:13:08.049] Applying learner 'classif.rpart' on task 'sonar' (iter 5/10)
    INFO [21:13:08.115] Applying learner 'classif.rpart' on task 'sonar' (iter 6/10)
    INFO [21:13:08.179] Applying learner 'classif.rpart' on task 'sonar' (iter 7/10)
    INFO [21:13:08.281] Applying learner 'classif.rpart' on task 'sonar' (iter 8/10)
    INFO [21:13:08.372] Applying learner 'classif.rpart' on task 'sonar' (iter 9/10)
    INFO [21:13:08.489] Applying learner 'classif.rpart' on task 'sonar' (iter 10/10)
    INFO [21:13:08.553] Finished benchmark
    >
    > head(fortify(object))
    Error: $ operator is invalid for atomic vectors
    Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 0.2.0
Check: tests
Result: ERROR
     Running ‘testthat.R’ [31s/39s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(mlr3viz)
     >
     > test_check("mlr3viz")
     ── 1. Error: fortify BenchmarkResult (@test_BenchmarkResult.R#10) ─────────────
     $ operator is invalid for atomic vectors
     Backtrace:
     1. ggplot2::fortify(bmr, measure = msr("classif.ce"))
     2. mlr3viz:::fortify.BenchmarkResult(bmr, measure = msr("classif.ce"))
     3. mlr3::assert_measure(...)
    
     ── 2. Error: autoplot BenchmarkResult (@test_BenchmarkResult.R#18) ────────────
     $ operator is invalid for atomic vectors
     Backtrace:
     1. ggplot2::autoplot(bmr, measure = msr("classif.ce"))
     2. mlr3viz:::autoplot.BenchmarkResult(bmr, measure = msr("classif.ce"))
     3. mlr3::assert_measure(...)
    
     ══ testthat results ═══════════════════════════════════════════════════════════
     [ OK: 89 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 2 ]
     1. Error: fortify BenchmarkResult (@test_BenchmarkResult.R#10)
     2. Error: autoplot BenchmarkResult (@test_BenchmarkResult.R#18)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 0.2.0
Check: examples
Result: ERROR
    Running examples in ‘mlr3viz-Ex.R’ failed
    The error most likely occurred in:
    
    > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
    > ### Name: autoplot.BenchmarkResult
    > ### Title: Plot for BenchmarkResult
    > ### Aliases: autoplot.BenchmarkResult
    >
    > ### ** Examples
    >
    > library(mlr3)
    > library(mlr3viz)
    >
    > tasks = tsks(c("spam", "pima", "sonar"))
    > learner = lrns(c("classif.featureless", "classif.rpart"),
    + predict_type = "prob")
    > resampling = rsmps("cv")
    > object = benchmark(benchmark_grid(tasks, learner, resampling))
    INFO [17:24:05.282] Benchmark with 60 resampling iterations
    INFO [17:24:05.442] Applying learner 'classif.featureless' on task 'spam' (iter 1/10)
    INFO [17:24:05.489] Applying learner 'classif.featureless' on task 'spam' (iter 2/10)
    INFO [17:24:05.508] Applying learner 'classif.featureless' on task 'spam' (iter 3/10)
    INFO [17:24:05.533] Applying learner 'classif.featureless' on task 'spam' (iter 4/10)
    INFO [17:24:05.582] Applying learner 'classif.featureless' on task 'spam' (iter 5/10)
    INFO [17:24:05.619] Applying learner 'classif.featureless' on task 'spam' (iter 6/10)
    INFO [17:24:05.655] Applying learner 'classif.featureless' on task 'spam' (iter 7/10)
    INFO [17:24:05.709] Applying learner 'classif.featureless' on task 'spam' (iter 8/10)
    INFO [17:24:05.746] Applying learner 'classif.featureless' on task 'spam' (iter 9/10)
    INFO [17:24:05.791] Applying learner 'classif.featureless' on task 'spam' (iter 10/10)
    INFO [17:24:05.834] Applying learner 'classif.rpart' on task 'spam' (iter 1/10)
    INFO [17:24:06.277] Applying learner 'classif.rpart' on task 'spam' (iter 2/10)
    INFO [17:24:06.825] Applying learner 'classif.rpart' on task 'spam' (iter 3/10)
    INFO [17:24:07.302] Applying learner 'classif.rpart' on task 'spam' (iter 4/10)
    INFO [17:24:07.447] Applying learner 'classif.rpart' on task 'spam' (iter 5/10)
    INFO [17:24:07.940] Applying learner 'classif.rpart' on task 'spam' (iter 6/10)
    INFO [17:24:08.455] Applying learner 'classif.rpart' on task 'spam' (iter 7/10)
    INFO [17:24:08.706] Applying learner 'classif.rpart' on task 'spam' (iter 8/10)
    INFO [17:24:08.848] Applying learner 'classif.rpart' on task 'spam' (iter 9/10)
    INFO [17:24:09.262] Applying learner 'classif.rpart' on task 'spam' (iter 10/10)
    INFO [17:24:09.858] Applying learner 'classif.featureless' on task 'pima' (iter 1/10)
    INFO [17:24:09.877] Applying learner 'classif.featureless' on task 'pima' (iter 2/10)
    INFO [17:24:09.896] Applying learner 'classif.featureless' on task 'pima' (iter 3/10)
    INFO [17:24:09.915] Applying learner 'classif.featureless' on task 'pima' (iter 4/10)
    INFO [17:24:09.934] Applying learner 'classif.featureless' on task 'pima' (iter 5/10)
    INFO [17:24:09.959] Applying learner 'classif.featureless' on task 'pima' (iter 6/10)
    INFO [17:24:09.976] Applying learner 'classif.featureless' on task 'pima' (iter 7/10)
    INFO [17:24:09.995] Applying learner 'classif.featureless' on task 'pima' (iter 8/10)
    INFO [17:24:10.014] Applying learner 'classif.featureless' on task 'pima' (iter 9/10)
    INFO [17:24:10.033] Applying learner 'classif.featureless' on task 'pima' (iter 10/10)
    INFO [17:24:10.051] Applying learner 'classif.rpart' on task 'pima' (iter 1/10)
    INFO [17:24:10.096] Applying learner 'classif.rpart' on task 'pima' (iter 2/10)
    INFO [17:24:10.147] Applying learner 'classif.rpart' on task 'pima' (iter 3/10)
    INFO [17:24:10.185] Applying learner 'classif.rpart' on task 'pima' (iter 4/10)
    INFO [17:24:10.221] Applying learner 'classif.rpart' on task 'pima' (iter 5/10)
    INFO [17:24:10.257] Applying learner 'classif.rpart' on task 'pima' (iter 6/10)
    INFO [17:24:10.333] Applying learner 'classif.rpart' on task 'pima' (iter 7/10)
    INFO [17:24:10.368] Applying learner 'classif.rpart' on task 'pima' (iter 8/10)
    INFO [17:24:10.402] Applying learner 'classif.rpart' on task 'pima' (iter 9/10)
    INFO [17:24:10.435] Applying learner 'classif.rpart' on task 'pima' (iter 10/10)
    INFO [17:24:10.468] Applying learner 'classif.featureless' on task 'sonar' (iter 1/10)
    INFO [17:24:10.487] Applying learner 'classif.featureless' on task 'sonar' (iter 2/10)
    INFO [17:24:10.511] Applying learner 'classif.featureless' on task 'sonar' (iter 3/10)
    INFO [17:24:10.529] Applying learner 'classif.featureless' on task 'sonar' (iter 4/10)
    INFO [17:24:10.548] Applying learner 'classif.featureless' on task 'sonar' (iter 5/10)
    INFO [17:24:10.566] Applying learner 'classif.featureless' on task 'sonar' (iter 6/10)
    INFO [17:24:10.585] Applying learner 'classif.featureless' on task 'sonar' (iter 7/10)
    INFO [17:24:10.605] Applying learner 'classif.featureless' on task 'sonar' (iter 8/10)
    INFO [17:24:10.624] Applying learner 'classif.featureless' on task 'sonar' (iter 9/10)
    INFO [17:24:10.643] Applying learner 'classif.featureless' on task 'sonar' (iter 10/10)
    INFO [17:24:10.668] Applying learner 'classif.rpart' on task 'sonar' (iter 1/10)
    INFO [17:24:10.724] Applying learner 'classif.rpart' on task 'sonar' (iter 2/10)
    INFO [17:24:10.781] Applying learner 'classif.rpart' on task 'sonar' (iter 3/10)
    INFO [17:24:10.846] Applying learner 'classif.rpart' on task 'sonar' (iter 4/10)
    INFO [17:24:10.902] Applying learner 'classif.rpart' on task 'sonar' (iter 5/10)
    INFO [17:24:10.964] Applying learner 'classif.rpart' on task 'sonar' (iter 6/10)
    INFO [17:24:11.018] Applying learner 'classif.rpart' on task 'sonar' (iter 7/10)
    INFO [17:24:11.073] Applying learner 'classif.rpart' on task 'sonar' (iter 8/10)
    INFO [17:24:11.134] Applying learner 'classif.rpart' on task 'sonar' (iter 9/10)
    INFO [17:24:11.188] Applying learner 'classif.rpart' on task 'sonar' (iter 10/10)
    INFO [17:24:11.249] Finished benchmark
    >
    > head(fortify(object))
    Error: $ operator is invalid for atomic vectors
    Execution halted
Flavor: r-patched-linux-x86_64

Version: 0.2.0
Check: tests
Result: ERROR
     Running ‘testthat.R’ [27s/28s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(mlr3viz)
     >
     > test_check("mlr3viz")
     ── 1. Error: fortify BenchmarkResult (@test_BenchmarkResult.R#10) ─────────────
     $ operator is invalid for atomic vectors
     Backtrace:
     1. ggplot2::fortify(bmr, measure = msr("classif.ce"))
     2. mlr3viz:::fortify.BenchmarkResult(bmr, measure = msr("classif.ce"))
     3. mlr3::assert_measure(...)
    
     ── 2. Error: autoplot BenchmarkResult (@test_BenchmarkResult.R#18) ────────────
     $ operator is invalid for atomic vectors
     Backtrace:
     1. ggplot2::autoplot(bmr, measure = msr("classif.ce"))
     2. mlr3viz:::autoplot.BenchmarkResult(bmr, measure = msr("classif.ce"))
     3. mlr3::assert_measure(...)
    
     ══ testthat results ═══════════════════════════════════════════════════════════
     [ OK: 89 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 2 ]
     1. Error: fortify BenchmarkResult (@test_BenchmarkResult.R#10)
     2. Error: autoplot BenchmarkResult (@test_BenchmarkResult.R#18)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-patched-linux-x86_64

Version: 0.2.0
Check: examples
Result: ERROR
    Running examples in ‘mlr3viz-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: autoplot.BenchmarkResult
    > ### Title: Plot for BenchmarkResult
    > ### Aliases: autoplot.BenchmarkResult
    >
    > ### ** Examples
    >
    > library(mlr3)
    > library(mlr3viz)
    >
    > tasks = tsks(c("spam", "pima", "sonar"))
    > learner = lrns(c("classif.featureless", "classif.rpart"),
    + predict_type = "prob")
    > resampling = rsmps("cv")
    > object = benchmark(benchmark_grid(tasks, learner, resampling))
    INFO [11:25:52.031] Benchmark with 60 resampling iterations
    INFO [11:25:52.279] Applying learner 'classif.featureless' on task 'spam' (iter 1/10)
    INFO [11:25:52.361] Applying learner 'classif.featureless' on task 'spam' (iter 2/10)
    INFO [11:25:52.388] Applying learner 'classif.featureless' on task 'spam' (iter 3/10)
    INFO [11:25:52.416] Applying learner 'classif.featureless' on task 'spam' (iter 4/10)
    INFO [11:25:52.444] Applying learner 'classif.featureless' on task 'spam' (iter 5/10)
    INFO [11:25:52.487] Applying learner 'classif.featureless' on task 'spam' (iter 6/10)
    INFO [11:25:52.515] Applying learner 'classif.featureless' on task 'spam' (iter 7/10)
    INFO [11:25:52.543] Applying learner 'classif.featureless' on task 'spam' (iter 8/10)
    INFO [11:25:52.580] Applying learner 'classif.featureless' on task 'spam' (iter 9/10)
    INFO [11:25:52.608] Applying learner 'classif.featureless' on task 'spam' (iter 10/10)
    INFO [11:25:52.636] Applying learner 'classif.rpart' on task 'spam' (iter 1/10)
    INFO [11:25:53.069] Applying learner 'classif.rpart' on task 'spam' (iter 2/10)
    INFO [11:25:53.451] Applying learner 'classif.rpart' on task 'spam' (iter 3/10)
    INFO [11:25:53.896] Applying learner 'classif.rpart' on task 'spam' (iter 4/10)
    INFO [11:25:54.340] Applying learner 'classif.rpart' on task 'spam' (iter 5/10)
    INFO [11:25:54.704] Applying learner 'classif.rpart' on task 'spam' (iter 6/10)
    INFO [11:25:55.045] Applying learner 'classif.rpart' on task 'spam' (iter 7/10)
    INFO [11:25:55.447] Applying learner 'classif.rpart' on task 'spam' (iter 8/10)
    INFO [11:25:55.818] Applying learner 'classif.rpart' on task 'spam' (iter 9/10)
    INFO [11:25:56.181] Applying learner 'classif.rpart' on task 'spam' (iter 10/10)
    INFO [11:25:56.553] Applying learner 'classif.featureless' on task 'pima' (iter 1/10)
    INFO [11:25:56.580] Applying learner 'classif.featureless' on task 'pima' (iter 2/10)
    INFO [11:25:56.607] Applying learner 'classif.featureless' on task 'pima' (iter 3/10)
    INFO [11:25:56.634] Applying learner 'classif.featureless' on task 'pima' (iter 4/10)
    INFO [11:25:56.662] Applying learner 'classif.featureless' on task 'pima' (iter 5/10)
    INFO [11:25:56.689] Applying learner 'classif.featureless' on task 'pima' (iter 6/10)
    INFO [11:25:56.716] Applying learner 'classif.featureless' on task 'pima' (iter 7/10)
    INFO [11:25:56.743] Applying learner 'classif.featureless' on task 'pima' (iter 8/10)
    INFO [11:25:56.770] Applying learner 'classif.featureless' on task 'pima' (iter 9/10)
    INFO [11:25:56.813] Applying learner 'classif.featureless' on task 'pima' (iter 10/10)
    INFO [11:25:56.842] Applying learner 'classif.rpart' on task 'pima' (iter 1/10)
    INFO [11:25:56.892] Applying learner 'classif.rpart' on task 'pima' (iter 2/10)
    INFO [11:25:56.943] Applying learner 'classif.rpart' on task 'pima' (iter 3/10)
    INFO [11:25:56.990] Applying learner 'classif.rpart' on task 'pima' (iter 4/10)
    INFO [11:25:57.038] Applying learner 'classif.rpart' on task 'pima' (iter 5/10)
    INFO [11:25:57.098] Applying learner 'classif.rpart' on task 'pima' (iter 6/10)
    INFO [11:25:57.147] Applying learner 'classif.rpart' on task 'pima' (iter 7/10)
    INFO [11:25:57.194] Applying learner 'classif.rpart' on task 'pima' (iter 8/10)
    INFO [11:25:57.242] Applying learner 'classif.rpart' on task 'pima' (iter 9/10)
    INFO [11:25:57.290] Applying learner 'classif.rpart' on task 'pima' (iter 10/10)
    INFO [11:25:57.352] Applying learner 'classif.featureless' on task 'sonar' (iter 1/10)
    INFO [11:25:57.377] Applying learner 'classif.featureless' on task 'sonar' (iter 2/10)
    INFO [11:25:57.403] Applying learner 'classif.featureless' on task 'sonar' (iter 3/10)
    INFO [11:25:57.428] Applying learner 'classif.featureless' on task 'sonar' (iter 4/10)
    INFO [11:25:57.454] Applying learner 'classif.featureless' on task 'sonar' (iter 5/10)
    INFO [11:25:57.497] Applying learner 'classif.featureless' on task 'sonar' (iter 6/10)
    INFO [11:25:57.524] Applying learner 'classif.featureless' on task 'sonar' (iter 7/10)
    INFO [11:25:57.552] Applying learner 'classif.featureless' on task 'sonar' (iter 8/10)
    INFO [11:25:57.580] Applying learner 'classif.featureless' on task 'sonar' (iter 9/10)
    INFO [11:25:57.689] Applying learner 'classif.featureless' on task 'sonar' (iter 10/10)
    INFO [11:25:57.718] Applying learner 'classif.rpart' on task 'sonar' (iter 1/10)
    INFO [11:25:57.799] Applying learner 'classif.rpart' on task 'sonar' (iter 2/10)
    INFO [11:25:57.886] Applying learner 'classif.rpart' on task 'sonar' (iter 3/10)
    INFO [11:25:57.980] Applying learner 'classif.rpart' on task 'sonar' (iter 4/10)
    INFO [11:25:58.058] Applying learner 'classif.rpart' on task 'sonar' (iter 5/10)
    INFO [11:25:58.135] Applying learner 'classif.rpart' on task 'sonar' (iter 6/10)
    INFO [11:25:58.228] Applying learner 'classif.rpart' on task 'sonar' (iter 7/10)
    INFO [11:25:58.305] Applying learner 'classif.rpart' on task 'sonar' (iter 8/10)
    INFO [11:25:58.381] Applying learner 'classif.rpart' on task 'sonar' (iter 9/10)
    INFO [11:25:58.477] Applying learner 'classif.rpart' on task 'sonar' (iter 10/10)
    INFO [11:25:58.558] Finished benchmark
    >
    > head(fortify(object))
    Error: $ operator is invalid for atomic vectors
    Execution halted
Flavor: r-patched-solaris-x86

Version: 0.2.0
Check: tests
Result: ERROR
     Running ‘testthat.R’ [34s/37s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(mlr3viz)
     >
     > test_check("mlr3viz")
     ── 1. Error: fortify BenchmarkResult (@test_BenchmarkResult.R#10) ─────────────
     $ operator is invalid for atomic vectors
     Backtrace:
     1. ggplot2::fortify(bmr, measure = msr("classif.ce"))
     2. mlr3viz:::fortify.BenchmarkResult(bmr, measure = msr("classif.ce"))
     3. mlr3::assert_measure(...)
    
     ── 2. Error: autoplot BenchmarkResult (@test_BenchmarkResult.R#18) ────────────
     $ operator is invalid for atomic vectors
     Backtrace:
     1. ggplot2::autoplot(bmr, measure = msr("classif.ce"))
     2. mlr3viz:::autoplot.BenchmarkResult(bmr, measure = msr("classif.ce"))
     3. mlr3::assert_measure(...)
    
     ══ testthat results ═══════════════════════════════════════════════════════════
     [ OK: 89 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 2 ]
     1. Error: fortify BenchmarkResult (@test_BenchmarkResult.R#10)
     2. Error: autoplot BenchmarkResult (@test_BenchmarkResult.R#18)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-patched-solaris-x86

Version: 0.2.0
Check: examples
Result: ERROR
    Running examples in ‘mlr3viz-Ex.R’ failed
    The error most likely occurred in:
    
    > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
    > ### Name: autoplot.BenchmarkResult
    > ### Title: Plot for BenchmarkResult
    > ### Aliases: autoplot.BenchmarkResult
    >
    > ### ** Examples
    >
    > library(mlr3)
    > library(mlr3viz)
    >
    > tasks = tsks(c("spam", "pima", "sonar"))
    > learner = lrns(c("classif.featureless", "classif.rpart"),
    + predict_type = "prob")
    > resampling = rsmps("cv")
    > object = benchmark(benchmark_grid(tasks, learner, resampling))
    INFO [09:25:11.631] Benchmark with 60 resampling iterations
    INFO [09:25:11.879] Applying learner 'classif.featureless' on task 'spam' (iter 1/10)
    INFO [09:25:11.957] Applying learner 'classif.featureless' on task 'spam' (iter 2/10)
    INFO [09:25:11.979] Applying learner 'classif.featureless' on task 'spam' (iter 3/10)
    INFO [09:25:12.005] Applying learner 'classif.featureless' on task 'spam' (iter 4/10)
    INFO [09:25:12.037] Applying learner 'classif.featureless' on task 'spam' (iter 5/10)
    INFO [09:25:12.071] Applying learner 'classif.featureless' on task 'spam' (iter 6/10)
    INFO [09:25:12.106] Applying learner 'classif.featureless' on task 'spam' (iter 7/10)
    INFO [09:25:12.139] Applying learner 'classif.featureless' on task 'spam' (iter 8/10)
    INFO [09:25:12.180] Applying learner 'classif.featureless' on task 'spam' (iter 9/10)
    INFO [09:25:12.214] Applying learner 'classif.featureless' on task 'spam' (iter 10/10)
    INFO [09:25:12.247] Applying learner 'classif.rpart' on task 'spam' (iter 1/10)
    INFO [09:25:12.813] Applying learner 'classif.rpart' on task 'spam' (iter 2/10)
    INFO [09:25:13.445] Applying learner 'classif.rpart' on task 'spam' (iter 3/10)
    INFO [09:25:13.591] Applying learner 'classif.rpart' on task 'spam' (iter 4/10)
    INFO [09:25:13.732] Applying learner 'classif.rpart' on task 'spam' (iter 5/10)
    INFO [09:25:14.310] Applying learner 'classif.rpart' on task 'spam' (iter 6/10)
    INFO [09:25:14.801] Applying learner 'classif.rpart' on task 'spam' (iter 7/10)
    INFO [09:25:15.323] Applying learner 'classif.rpart' on task 'spam' (iter 8/10)
    INFO [09:25:15.933] Applying learner 'classif.rpart' on task 'spam' (iter 9/10)
    INFO [09:25:16.585] Applying learner 'classif.rpart' on task 'spam' (iter 10/10)
    INFO [09:25:17.084] Applying learner 'classif.featureless' on task 'pima' (iter 1/10)
    INFO [09:25:17.107] Applying learner 'classif.featureless' on task 'pima' (iter 2/10)
    INFO [09:25:17.133] Applying learner 'classif.featureless' on task 'pima' (iter 3/10)
    INFO [09:25:17.154] Applying learner 'classif.featureless' on task 'pima' (iter 4/10)
    INFO [09:25:17.176] Applying learner 'classif.featureless' on task 'pima' (iter 5/10)
    INFO [09:25:17.206] Applying learner 'classif.featureless' on task 'pima' (iter 6/10)
    INFO [09:25:17.227] Applying learner 'classif.featureless' on task 'pima' (iter 7/10)
    INFO [09:25:17.247] Applying learner 'classif.featureless' on task 'pima' (iter 8/10)
    INFO [09:25:17.266] Applying learner 'classif.featureless' on task 'pima' (iter 9/10)
    INFO [09:25:17.285] Applying learner 'classif.featureless' on task 'pima' (iter 10/10)
    INFO [09:25:17.305] Applying learner 'classif.rpart' on task 'pima' (iter 1/10)
    INFO [09:25:17.348] Applying learner 'classif.rpart' on task 'pima' (iter 2/10)
    INFO [09:25:17.421] Applying learner 'classif.rpart' on task 'pima' (iter 3/10)
    INFO [09:25:17.479] Applying learner 'classif.rpart' on task 'pima' (iter 4/10)
    INFO [09:25:17.514] Applying learner 'classif.rpart' on task 'pima' (iter 5/10)
    INFO [09:25:17.549] Applying learner 'classif.rpart' on task 'pima' (iter 6/10)
    INFO [09:25:17.625] Applying learner 'classif.rpart' on task 'pima' (iter 7/10)
    INFO [09:25:17.659] Applying learner 'classif.rpart' on task 'pima' (iter 8/10)
    INFO [09:25:17.696] Applying learner 'classif.rpart' on task 'pima' (iter 9/10)
    INFO [09:25:17.731] Applying learner 'classif.rpart' on task 'pima' (iter 10/10)
    INFO [09:25:17.765] Applying learner 'classif.featureless' on task 'sonar' (iter 1/10)
    INFO [09:25:17.784] Applying learner 'classif.featureless' on task 'sonar' (iter 2/10)
    INFO [09:25:17.808] Applying learner 'classif.featureless' on task 'sonar' (iter 3/10)
    INFO [09:25:17.826] Applying learner 'classif.featureless' on task 'sonar' (iter 4/10)
    INFO [09:25:17.845] Applying learner 'classif.featureless' on task 'sonar' (iter 5/10)
    INFO [09:25:17.864] Applying learner 'classif.featureless' on task 'sonar' (iter 6/10)
    INFO [09:25:17.883] Applying learner 'classif.featureless' on task 'sonar' (iter 7/10)
    INFO [09:25:17.902] Applying learner 'classif.featureless' on task 'sonar' (iter 8/10)
    INFO [09:25:17.921] Applying learner 'classif.featureless' on task 'sonar' (iter 9/10)
    INFO [09:25:17.941] Applying learner 'classif.featureless' on task 'sonar' (iter 10/10)
    INFO [09:25:17.966] Applying learner 'classif.rpart' on task 'sonar' (iter 1/10)
    INFO [09:25:18.023] Applying learner 'classif.rpart' on task 'sonar' (iter 2/10)
    INFO [09:25:18.079] Applying learner 'classif.rpart' on task 'sonar' (iter 3/10)
    INFO [09:25:18.142] Applying learner 'classif.rpart' on task 'sonar' (iter 4/10)
    INFO [09:25:18.200] Applying learner 'classif.rpart' on task 'sonar' (iter 5/10)
    INFO [09:25:18.262] Applying learner 'classif.rpart' on task 'sonar' (iter 6/10)
    INFO [09:25:18.317] Applying learner 'classif.rpart' on task 'sonar' (iter 7/10)
    INFO [09:25:18.373] Applying learner 'classif.rpart' on task 'sonar' (iter 8/10)
    INFO [09:25:18.435] Applying learner 'classif.rpart' on task 'sonar' (iter 9/10)
    INFO [09:25:18.491] Applying learner 'classif.rpart' on task 'sonar' (iter 10/10)
    INFO [09:25:18.553] Finished benchmark
    >
    > head(fortify(object))
    Error: $ operator is invalid for atomic vectors
    Execution halted
Flavor: r-release-linux-x86_64

Version: 0.2.0
Check: tests
Result: ERROR
     Running ‘testthat.R’ [28s/29s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(mlr3viz)
     >
     > test_check("mlr3viz")
     ── 1. Error: fortify BenchmarkResult (@test_BenchmarkResult.R#10) ─────────────
     $ operator is invalid for atomic vectors
     Backtrace:
     1. ggplot2::fortify(bmr, measure = msr("classif.ce"))
     2. mlr3viz:::fortify.BenchmarkResult(bmr, measure = msr("classif.ce"))
     3. mlr3::assert_measure(...)
    
     ── 2. Error: autoplot BenchmarkResult (@test_BenchmarkResult.R#18) ────────────
     $ operator is invalid for atomic vectors
     Backtrace:
     1. ggplot2::autoplot(bmr, measure = msr("classif.ce"))
     2. mlr3viz:::autoplot.BenchmarkResult(bmr, measure = msr("classif.ce"))
     3. mlr3::assert_measure(...)
    
     ══ testthat results ═══════════════════════════════════════════════════════════
     [ OK: 89 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 2 ]
     1. Error: fortify BenchmarkResult (@test_BenchmarkResult.R#10)
     2. Error: autoplot BenchmarkResult (@test_BenchmarkResult.R#18)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-release-linux-x86_64