CRAN Package Check Results for Package mlr3cluster

Last updated on 2024-09-27 17:51:25 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.1.9 17.92 142.92 160.84 ERROR
r-devel-linux-x86_64-debian-gcc 0.1.9 11.71 96.87 108.58 ERROR
r-devel-linux-x86_64-fedora-clang 0.1.9 260.16 ERROR
r-devel-linux-x86_64-fedora-gcc 0.1.9 236.00 ERROR
r-devel-windows-x86_64 0.1.9 17.00 154.00 171.00 NOTE
r-patched-linux-x86_64 0.1.9 21.45 130.89 152.34 ERROR
r-release-linux-x86_64 0.1.9 15.38 131.48 146.86 ERROR
r-release-macos-arm64 0.1.9 63.00 OK
r-release-macos-x86_64 0.1.9 108.00 OK
r-release-windows-x86_64 0.1.9 18.00 151.00 169.00 ERROR
r-oldrel-macos-arm64 0.1.9 70.00 OK
r-oldrel-macos-x86_64 0.1.9 168.00 OK
r-oldrel-windows-x86_64 0.1.9 22.00 194.00 216.00 ERROR

Check Details

Version: 0.1.9
Check: Rd cross-references
Result: NOTE Found the following Rd file(s) with Rd \link{} targets missing package anchors: LearnerClust.Rd: Prediction, mlr_reflections, Learner MeasureClust.Rd: mlr_reflections, Task, Learner, Resampling TaskClust.Rd: mlr_tasks, DataBackend, DataBackendDataTable as_task_clust.Rd: DataBackend mlr_learners_clust.MBatchKMeans.Rd: Learner, mlr_learners, lrn mlr_learners_clust.SimpleKMeans.Rd: Learner, mlr_learners, lrn mlr_learners_clust.agnes.Rd: Learner, mlr_learners, lrn mlr_learners_clust.ap.Rd: Learner, mlr_learners, lrn mlr_learners_clust.cmeans.Rd: Learner, mlr_learners, lrn mlr_learners_clust.cobweb.Rd: Learner, mlr_learners, lrn mlr_learners_clust.dbscan.Rd: Learner, mlr_learners, lrn mlr_learners_clust.dbscan_fpc.Rd: Learner, mlr_learners, lrn mlr_learners_clust.diana.Rd: Learner, mlr_learners, lrn mlr_learners_clust.em.Rd: Learner, mlr_learners, lrn mlr_learners_clust.fanny.Rd: Learner, mlr_learners, lrn mlr_learners_clust.featureless.Rd: Learner, mlr_learners, lrn mlr_learners_clust.ff.Rd: Learner, mlr_learners, lrn mlr_learners_clust.hclust.Rd: Learner, mlr_learners, lrn mlr_learners_clust.hdbscan.Rd: Learner, mlr_learners, lrn mlr_learners_clust.kkmeans.Rd: Learner, mlr_learners, lrn mlr_learners_clust.kmeans.Rd: Learner, mlr_learners, lrn mlr_learners_clust.mclust.Rd: Learner, mlr_learners, lrn mlr_learners_clust.meanshift.Rd: Learner, mlr_learners, lrn mlr_learners_clust.optics.Rd: Learner, mlr_learners, lrn mlr_learners_clust.pam.Rd: Learner, mlr_learners, lrn mlr_learners_clust.xmeans.Rd: Learner, mlr_learners, lrn mlr_measures_clust.ch.Rd: mlr_measures mlr_measures_clust.dunn.Rd: mlr_measures mlr_measures_clust.silhouette.Rd: mlr_measures mlr_measures_clust.wss.Rd: mlr_measures Please provide package anchors for all Rd \link{} targets not in the package itself and the base packages. Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-windows-x86_64

Version: 0.1.9
Check: tests
Result: ERROR Running ‘testthat.R’ [23s/35s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > if (requireNamespace("testthat", quietly = TRUE)) { + library("checkmate") + library("testthat") + library("mlr3") + library("mlr3cluster") + test_check("mlr3cluster") + } Using automatic sigma estimation (sigest) for RBF or laplace kernel Setting default kernel parameters Using automatic sigma estimation (sigest) for RBF or laplace kernel Setting default kernel parameters [ FAIL 1 | WARN 13 | SKIP 5 | PASS 1672 ] ══ Skipped tests (5) ═══════════════════════════════════════════════════════════ • On CRAN (5): 'test_mlr_learners_clust_cobweb.R:2:1', 'test_mlr_learners_clust_em.R:2:1', 'test_mlr_learners_clust_ff.R:2:1', 'test_mlr_learners_clust_simplekmeans.R:2:1', 'test_mlr_learners_clust_xmeans.R:1:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_LearnerClust.R:38:3'): empty predict set (#421) ──────────────── Error in `UseMethod("create_empty_prediction_data")`: no applicable method for 'create_empty_prediction_data' applied to an object of class "c('TaskClust', 'TaskUnsupervised', 'Task', 'R6')" Backtrace: ▆ 1. └─learner$predict(task, hout$test_set(1)) at test_LearnerClust.R:38:3 2. └─mlr3:::.__Learner__predict(...) 3. └─mlr3:::learner_predict(self, task, row_ids) 4. └─mlr3::create_empty_prediction_data(task, learner) [ FAIL 1 | WARN 13 | SKIP 5 | PASS 1672 ] Error: Test failures Execution halted Flavor: r-devel-linux-x86_64-debian-clang

Version: 0.1.9
Check: tests
Result: ERROR Running ‘testthat.R’ [15s/19s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > if (requireNamespace("testthat", quietly = TRUE)) { + library("checkmate") + library("testthat") + library("mlr3") + library("mlr3cluster") + test_check("mlr3cluster") + } Using automatic sigma estimation (sigest) for RBF or laplace kernel Setting default kernel parameters Using automatic sigma estimation (sigest) for RBF or laplace kernel Setting default kernel parameters [ FAIL 1 | WARN 13 | SKIP 5 | PASS 1672 ] ══ Skipped tests (5) ═══════════════════════════════════════════════════════════ • On CRAN (5): 'test_mlr_learners_clust_cobweb.R:2:1', 'test_mlr_learners_clust_em.R:2:1', 'test_mlr_learners_clust_ff.R:2:1', 'test_mlr_learners_clust_simplekmeans.R:2:1', 'test_mlr_learners_clust_xmeans.R:1:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_LearnerClust.R:38:3'): empty predict set (#421) ──────────────── Error in `UseMethod("create_empty_prediction_data")`: no applicable method for 'create_empty_prediction_data' applied to an object of class "c('TaskClust', 'TaskUnsupervised', 'Task', 'R6')" Backtrace: ▆ 1. └─learner$predict(task, hout$test_set(1)) at test_LearnerClust.R:38:3 2. └─mlr3:::.__Learner__predict(...) 3. └─mlr3:::learner_predict(self, task, row_ids) 4. └─mlr3::create_empty_prediction_data(task, learner) [ FAIL 1 | WARN 13 | SKIP 5 | PASS 1672 ] Error: Test failures Execution halted Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.1.9
Check: tests
Result: ERROR Running ‘testthat.R’ [36s/94s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > if (requireNamespace("testthat", quietly = TRUE)) { + library("checkmate") + library("testthat") + library("mlr3") + library("mlr3cluster") + test_check("mlr3cluster") + } Using automatic sigma estimation (sigest) for RBF or laplace kernel Setting default kernel parameters Using automatic sigma estimation (sigest) for RBF or laplace kernel Setting default kernel parameters [ FAIL 1 | WARN 13 | SKIP 5 | PASS 1672 ] ══ Skipped tests (5) ═══════════════════════════════════════════════════════════ • On CRAN (5): 'test_mlr_learners_clust_cobweb.R:2:1', 'test_mlr_learners_clust_em.R:2:1', 'test_mlr_learners_clust_ff.R:2:1', 'test_mlr_learners_clust_simplekmeans.R:2:1', 'test_mlr_learners_clust_xmeans.R:1:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_LearnerClust.R:38:3'): empty predict set (#421) ──────────────── Error in `UseMethod("create_empty_prediction_data")`: no applicable method for 'create_empty_prediction_data' applied to an object of class "c('TaskClust', 'TaskUnsupervised', 'Task', 'R6')" Backtrace: ▆ 1. └─learner$predict(task, hout$test_set(1)) at test_LearnerClust.R:38:3 2. └─mlr3:::.__Learner__predict(...) 3. └─mlr3:::learner_predict(self, task, row_ids) 4. └─mlr3::create_empty_prediction_data(task, learner) [ FAIL 1 | WARN 13 | SKIP 5 | PASS 1672 ] Error: Test failures Execution halted Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.1.9
Check: tests
Result: ERROR Running ‘testthat.R’ [34s/38s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > if (requireNamespace("testthat", quietly = TRUE)) { + library("checkmate") + library("testthat") + library("mlr3") + library("mlr3cluster") + test_check("mlr3cluster") + } Using automatic sigma estimation (sigest) for RBF or laplace kernel Setting default kernel parameters Using automatic sigma estimation (sigest) for RBF or laplace kernel Setting default kernel parameters [ FAIL 1 | WARN 13 | SKIP 5 | PASS 1672 ] ══ Skipped tests (5) ═══════════════════════════════════════════════════════════ • On CRAN (5): 'test_mlr_learners_clust_cobweb.R:2:1', 'test_mlr_learners_clust_em.R:2:1', 'test_mlr_learners_clust_ff.R:2:1', 'test_mlr_learners_clust_simplekmeans.R:2:1', 'test_mlr_learners_clust_xmeans.R:1:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_LearnerClust.R:38:3'): empty predict set (#421) ──────────────── Error in `UseMethod("create_empty_prediction_data")`: no applicable method for 'create_empty_prediction_data' applied to an object of class "c('TaskClust', 'TaskUnsupervised', 'Task', 'R6')" Backtrace: ▆ 1. └─learner$predict(task, hout$test_set(1)) at test_LearnerClust.R:38:3 2. └─mlr3:::.__Learner__predict(...) 3. └─mlr3:::learner_predict(self, task, row_ids) 4. └─mlr3::create_empty_prediction_data(task, learner) [ FAIL 1 | WARN 13 | SKIP 5 | PASS 1672 ] Error: Test failures Execution halted Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 0.1.9
Check: tests
Result: ERROR Running ‘testthat.R’ [20s/23s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > if (requireNamespace("testthat", quietly = TRUE)) { + library("checkmate") + library("testthat") + library("mlr3") + library("mlr3cluster") + test_check("mlr3cluster") + } Using automatic sigma estimation (sigest) for RBF or laplace kernel Setting default kernel parameters Using automatic sigma estimation (sigest) for RBF or laplace kernel Setting default kernel parameters [ FAIL 1 | WARN 13 | SKIP 5 | PASS 1672 ] ══ Skipped tests (5) ═══════════════════════════════════════════════════════════ • On CRAN (5): 'test_mlr_learners_clust_cobweb.R:2:1', 'test_mlr_learners_clust_em.R:2:1', 'test_mlr_learners_clust_ff.R:2:1', 'test_mlr_learners_clust_simplekmeans.R:2:1', 'test_mlr_learners_clust_xmeans.R:1:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_LearnerClust.R:38:3'): empty predict set (#421) ──────────────── Error in `UseMethod("create_empty_prediction_data")`: no applicable method for 'create_empty_prediction_data' applied to an object of class "c('TaskClust', 'TaskUnsupervised', 'Task', 'R6')" Backtrace: ▆ 1. └─learner$predict(task, hout$test_set(1)) at test_LearnerClust.R:38:3 2. └─mlr3:::.__Learner__predict(...) 3. └─mlr3:::learner_predict(self, task, row_ids) 4. └─mlr3::create_empty_prediction_data(task, learner) [ FAIL 1 | WARN 13 | SKIP 5 | PASS 1672 ] Error: Test failures Execution halted Flavor: r-patched-linux-x86_64

Version: 0.1.9
Check: tests
Result: ERROR Running ‘testthat.R’ [21s/25s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > if (requireNamespace("testthat", quietly = TRUE)) { + library("checkmate") + library("testthat") + library("mlr3") + library("mlr3cluster") + test_check("mlr3cluster") + } Using automatic sigma estimation (sigest) for RBF or laplace kernel Setting default kernel parameters Using automatic sigma estimation (sigest) for RBF or laplace kernel Setting default kernel parameters [ FAIL 1 | WARN 13 | SKIP 5 | PASS 1672 ] ══ Skipped tests (5) ═══════════════════════════════════════════════════════════ • On CRAN (5): 'test_mlr_learners_clust_cobweb.R:2:1', 'test_mlr_learners_clust_em.R:2:1', 'test_mlr_learners_clust_ff.R:2:1', 'test_mlr_learners_clust_simplekmeans.R:2:1', 'test_mlr_learners_clust_xmeans.R:1:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_LearnerClust.R:38:3'): empty predict set (#421) ──────────────── Error in `UseMethod("create_empty_prediction_data")`: no applicable method for 'create_empty_prediction_data' applied to an object of class "c('TaskClust', 'TaskUnsupervised', 'Task', 'R6')" Backtrace: ▆ 1. └─learner$predict(task, hout$test_set(1)) at test_LearnerClust.R:38:3 2. └─mlr3:::.__Learner__predict(...) 3. └─mlr3:::learner_predict(self, task, row_ids) 4. └─mlr3::create_empty_prediction_data(task, learner) [ FAIL 1 | WARN 13 | SKIP 5 | PASS 1672 ] Error: Test failures Execution halted Flavor: r-release-linux-x86_64

Version: 0.1.9
Check: tests
Result: ERROR Running 'testthat.R' [19s] Running the tests in 'tests/testthat.R' failed. Complete output: > if (requireNamespace("testthat", quietly = TRUE)) { + library("checkmate") + library("testthat") + library("mlr3") + library("mlr3cluster") + test_check("mlr3cluster") + } Using automatic sigma estimation (sigest) for RBF or laplace kernel Setting default kernel parameters Using automatic sigma estimation (sigest) for RBF or laplace kernel Setting default kernel parameters [ FAIL 1 | WARN 13 | SKIP 5 | PASS 1672 ] ══ Skipped tests (5) ═══════════════════════════════════════════════════════════ • On CRAN (5): 'test_mlr_learners_clust_cobweb.R:2:1', 'test_mlr_learners_clust_em.R:2:1', 'test_mlr_learners_clust_ff.R:2:1', 'test_mlr_learners_clust_simplekmeans.R:2:1', 'test_mlr_learners_clust_xmeans.R:1:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_LearnerClust.R:38:3'): empty predict set (#421) ──────────────── Error in `UseMethod("create_empty_prediction_data")`: no applicable method for 'create_empty_prediction_data' applied to an object of class "c('TaskClust', 'TaskUnsupervised', 'Task', 'R6')" Backtrace: ▆ 1. └─learner$predict(task, hout$test_set(1)) at test_LearnerClust.R:38:3 2. └─mlr3:::.__Learner__predict(...) 3. └─mlr3:::learner_predict(self, task, row_ids) 4. └─mlr3::create_empty_prediction_data(task, learner) [ FAIL 1 | WARN 13 | SKIP 5 | PASS 1672 ] Error: Test failures Execution halted Flavor: r-release-windows-x86_64

Version: 0.1.9
Check: tests
Result: ERROR Running 'testthat.R' [27s] Running the tests in 'tests/testthat.R' failed. Complete output: > if (requireNamespace("testthat", quietly = TRUE)) { + library("checkmate") + library("testthat") + library("mlr3") + library("mlr3cluster") + test_check("mlr3cluster") + } Using automatic sigma estimation (sigest) for RBF or laplace kernel Setting default kernel parameters Using automatic sigma estimation (sigest) for RBF or laplace kernel Setting default kernel parameters [ FAIL 1 | WARN 13 | SKIP 5 | PASS 1672 ] ══ Skipped tests (5) ═══════════════════════════════════════════════════════════ • On CRAN (5): 'test_mlr_learners_clust_cobweb.R:2:1', 'test_mlr_learners_clust_em.R:2:1', 'test_mlr_learners_clust_ff.R:2:1', 'test_mlr_learners_clust_simplekmeans.R:2:1', 'test_mlr_learners_clust_xmeans.R:1:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_LearnerClust.R:38:3'): empty predict set (#421) ──────────────── Error in `UseMethod("create_empty_prediction_data")`: no applicable method for 'create_empty_prediction_data' applied to an object of class "c('TaskClust', 'TaskUnsupervised', 'Task', 'R6')" Backtrace: ▆ 1. └─learner$predict(task, hout$test_set(1)) at test_LearnerClust.R:38:3 2. └─mlr3:::.__Learner__predict(...) 3. └─mlr3:::learner_predict(self, task, row_ids) 4. └─mlr3::create_empty_prediction_data(task, learner) [ FAIL 1 | WARN 13 | SKIP 5 | PASS 1672 ] Error: Test failures Execution halted Flavor: r-oldrel-windows-x86_64