CRAN Package Check Results for Package mlr3cluster

Last updated on 2026-02-28 11:49:30 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.2.0 29.78 166.23 196.01 OK
r-devel-linux-x86_64-debian-gcc 0.2.0 19.29 111.25 130.54 OK
r-devel-linux-x86_64-fedora-clang 0.2.0 48.00 249.06 297.06 OK
r-devel-linux-x86_64-fedora-gcc 0.2.0 46.00 242.26 288.26 ERROR
r-devel-macos-arm64 0.2.0 6.00 36.00 42.00 OK
r-devel-windows-x86_64 0.2.0 28.00 166.00 194.00 OK
r-patched-linux-x86_64 0.2.0 31.43 145.29 176.72 OK
r-release-linux-x86_64 0.2.0 26.65 144.39 171.04 OK
r-release-macos-arm64 0.2.0 6.00 38.00 44.00 OK
r-release-macos-x86_64 0.2.0 18.00 129.00 147.00 OK
r-release-windows-x86_64 0.2.0 30.00 158.00 188.00 OK
r-oldrel-macos-arm64 0.2.0 6.00 43.00 49.00 OK
r-oldrel-macos-x86_64 0.2.0 19.00 129.00 148.00 OK
r-oldrel-windows-x86_64 0.2.0 39.00 208.00 247.00 OK

Check Details

Version: 0.2.0
Check: tests
Result: ERROR Running ‘testthat.R’ [61s/127s] 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") + } Saving _problems/test_LearnerClust-39.R 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 0 | SKIP 5 | PASS 2014 ] ══ 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:39:3'): empty predict set (#421) ──────────────── Error in `expect_match(learner$log$msg, "No data to predict on", fixed = TRUE, all = FALSE)`: `object` must be a character vector, not `NULL`. Backtrace: ▆ 1. └─testthat::expect_match(object = learner$log$msg) at test_LearnerClust.R:39:3 2. └─testthat:::check_character(object) 3. └─testthat:::stop_input_type(...) 4. └─rlang::abort(message, ..., call = call, arg = arg) [ FAIL 1 | WARN 0 | SKIP 5 | PASS 2014 ] Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-fedora-gcc

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