CRAN Package Check Results for Package spinner

Last updated on 2025-08-16 13:48:37 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.1.0 14.40 1248.99 1263.39 OK
r-devel-linux-x86_64-debian-gcc 1.1.0 11.27 1203.24 1214.51 ERROR
r-devel-linux-x86_64-fedora-clang 1.1.0 1152.79 OK
r-devel-linux-x86_64-fedora-gcc 1.1.0 1134.47 OK
r-devel-windows-x86_64 1.1.0 16.00 333.00 349.00 OK
r-patched-linux-x86_64 1.1.0 14.62 1111.71 1126.33 OK
r-release-linux-x86_64 1.1.0 13.55 1292.71 1306.26 OK
r-release-macos-arm64 1.1.0 280.00 OK
r-release-macos-x86_64 1.1.0 70.00 OK
r-release-windows-x86_64 1.1.0 17.00 328.00 345.00 OK
r-oldrel-macos-arm64 1.1.0 44.00 OK
r-oldrel-macos-x86_64 1.1.0 73.00 OK
r-oldrel-windows-x86_64 1.1.0 21.00 463.00 484.00 OK

Check Details

Version: 1.1.0
Check: tests
Result: ERROR Running ‘testthat.R’ [19m/12m] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/tests.html > # * https://testthat.r-lib.org/reference/test_package.html#special-files > > library(testthat) > library(spinner) > > test_check("spinner") epoch: 10 Train loss: 0.7599003 Val loss: 0.7248313 epoch: 20 Train loss: 0.8645267 Val loss: 0.8023899 epoch: 30 Train loss: 0.7620199 Val loss: 0.5373248 epoch: 40 Train loss: 0.8324142 Val loss: 0.4764548 epoch: 50 Train loss: 0.8427221 Val loss: 0.5701311 epoch: 60 Train loss: 0.7945258 Val loss: 0.3817507 epoch: 70 Train loss: 0.8961152 Val loss: 0.6592442 epoch: 80 Train loss: 0.8502591 Val loss: 0.5885566 epoch: 90 Train loss: 0.7880955 Val loss: 0.2455029 epoch: 100 Train loss: 0.6798802 Val loss: 0.3645456 epoch: 10 Train loss: 0.6219627 Val loss: 0.7840626 epoch: 20 Train loss: 0.6704158 Val loss: 0.8399888 epoch: 30 Train loss: 0.6675342 Val loss: 0.8539749 early stop at epoch: 30 Train loss: 0.6675342 Val loss: 0.8539749 epoch: 10 Train loss: 0.7298967 Val loss: 0.8229401 epoch: 20 Train loss: 0.7445398 Val loss: 0.7465868 epoch: 30 Train loss: 0.629054 Val loss: 0.7237344 early stop at epoch: 31 Train loss: 0.6295169 Val loss: 0.8355131 epoch: 10 Train loss: 0.7718321 Val loss: 0.2808588 epoch: 20 Train loss: 0.6566182 Val loss: 0.3141668 epoch: 30 Train loss: 0.7045284 Val loss: 0.3500306 epoch: 40 Train loss: 0.638485 Val loss: 0.2463887 epoch: 50 Train loss: 0.6810969 Val loss: 0.8215458 epoch: 60 Train loss: 0.6973429 Val loss: 0.2378608 epoch: 70 Train loss: 0.6912739 Val loss: 0.3243187 epoch: 80 Train loss: 0.700842 Val loss: 0.2085903 epoch: 90 Train loss: 0.7693645 Val loss: 0.3736159 epoch: 100 Train loss: 0.682025 Val loss: 0.2748377 time: 199.37 sec elapsed epoch: 10 Train loss: 0.6461609 Val loss: 0.7300589 epoch: 20 Train loss: 0.6494385 Val loss: 0.7759352 epoch: 30 Train loss: 0.8371425 Val loss: 0.7655104 epoch: 40 Train loss: 0.7388492 Val loss: 0.6114454 early stop at epoch: 47 Train loss: 0.6194892 Val loss: 0.7524267 epoch: 10 Train loss: 0.7247152 Val loss: 0.6663572 epoch: 20 Train loss: 0.7378678 Val loss: 0.6443956 epoch: 30 Train loss: 0.7739933 Val loss: 0.6381109 epoch: 40 Train loss: 0.7259576 Val loss: 0.6338281 epoch: 50 Train loss: 0.7516199 Val loss: 0.6342371 epoch: 60 Train loss: 0.7387067 Val loss: 0.6746392 epoch: 70 Train loss: 0.7130806 Val loss: 0.6450401 epoch: 80 Train loss: 0.733237 Val loss: 0.6029599 early stop at epoch: 84 Train loss: 0.7539955 Val loss: 0.6467461 epoch: 10 Train loss: 0.7151577 Val loss: 0.7790765 epoch: 20 Train loss: 0.6298177 Val loss: 0.5040781 epoch: 30 Train loss: 0.6635298 Val loss: 0.7126158 early stop at epoch: 31 Train loss: 0.6697502 Val loss: 0.7429184 epoch: 10 Train loss: 0.6227168 Val loss: 0.6059908 epoch: 20 Train loss: 0.6884208 Val loss: 0.6417423 epoch: 30 Train loss: 0.7255963 Val loss: 0.6373754 epoch: 40 Train loss: 0.7299808 Val loss: 0.6346108 epoch: 50 Train loss: 0.7203053 Val loss: 0.6703576 epoch: 60 Train loss: 0.6884636 Val loss: 0.6244875 early stop at epoch: 64 Train loss: 0.7328161 Val loss: 0.6500231 time: 155.323 sec elapsed epoch: 10 Train loss: 0.3348995 Val loss: 0.3127333 epoch: 20 Train loss: 0.3535367 Val loss: 0.3200153 epoch: 30 Train loss: 0.361241 Val loss: 0.4158571 early stop at epoch: 33 Train loss: 0.2710129 Val loss: 0.3990917 epoch: 10 Train loss: 0.3349542 Val loss: 0.1174232 epoch: 20 Train loss: 0.3337182 Val loss: 0.3003015 epoch: 30 Train loss: 0.3130811 Val loss: 0.5018293 early stop at epoch: 30 Train loss: 0.3130811 Val loss: 0.5018293 epoch: 10 Train loss: 0.2844067 Val loss: 0.5932306 epoch: 20 Train loss: 0.2262332 Val loss: 0.184682 epoch: 30 Train loss: 0.238215 Val loss: 0.3140552 early stop at epoch: 37 Train loss: 0.2429357 Val loss: 0.3754033 epoch: 10 Train loss: 0.3616753 Val loss: 0.1708153 epoch: 20 Train loss: 0.3221505 Val loss: 0.1485768 epoch: 30 Train loss: 0.3157081 Val loss: 0.2142386 early stop at epoch: 31 Train loss: 0.3139112 Val loss: 0.4327657 time: 81.317 sec elapsed epoch: 10 Train loss: 0.4958697 Val loss: 0.5409112 epoch: 20 Train loss: 0.4958697 Val loss: 0.5434002 epoch: 30 Train loss: 0.4958697 Val loss: 0.5434002 early stop at epoch: 32 Train loss: 0.4958697 Val loss: 0.5572606 epoch: 10 Train loss: 0.722715 Val loss: 0.5963866 epoch: 20 Train loss: 0.722715 Val loss: 0.6199292 epoch: 30 Train loss: 0.722715 Val loss: 0.6199292 epoch: 40 Train loss: 0.722715 Val loss: 0.6199292 epoch: 50 Train loss: 0.722715 Val loss: 0.6199292 epoch: 60 Train loss: 0.722715 Val loss: 0.6199292 epoch: 70 Train loss: 0.722715 Val loss: 0.6199292 epoch: 80 Train loss: 0.722715 Val loss: 0.660278 epoch: 90 Train loss: 0.722715 Val loss: 0.6199292 epoch: 100 Train loss: 0.722715 Val loss: 0.6549069 epoch: 10 Train loss: 0.3444642 Val loss: 0.3488956 epoch: 20 Train loss: 0.3444642 Val loss: 0.3445197 epoch: 30 Train loss: 0.3541723 Val loss: 0.3488956 early stop at epoch: 34 Train loss: 0.3696207 Val loss: 0.3906776 time: 54.973 sec elapsed epoch: 10 Train loss: 0.6071812 Val loss: 0.6415308 epoch: 20 Train loss: 0.6071812 Val loss: 0.6360424 epoch: 30 Train loss: 0.6071812 Val loss: 0.6355206 early stop at epoch: 33 Train loss: 0.6206218 Val loss: 0.6652892 epoch: 10 Train loss: 0.7500421 Val loss: 0.6997044 epoch: 20 Train loss: 0.7306059 Val loss: 0.7055011 epoch: 30 Train loss: 0.7580199 Val loss: 0.7385918 epoch: 40 Train loss: 0.7306059 Val loss: 0.7055011 epoch: 50 Train loss: 0.7306059 Val loss: 0.7055011 early stop at epoch: 59 Train loss: 0.7306059 Val loss: 0.7696314 epoch: 10 Train loss: 0.629312 Val loss: 0.5607011 epoch: 20 Train loss: 0.629312 Val loss: 0.5492671 epoch: 30 Train loss: 0.6406093 Val loss: 0.5573002 epoch: 40 Train loss: 0.629312 Val loss: 0.5281357 epoch: 50 Train loss: 0.629312 Val loss: 0.592643 epoch: 60 Train loss: 0.6529294 Val loss: 0.5171959 epoch: 70 Train loss: 0.629312 Val loss: 0.5272684 epoch: 80 Train loss: 0.6539798 Val loss: 0.5305492 early stop at epoch: 86 Train loss: 0.6509914 Val loss: 0.549684 time: 62.951 sec elapsed epoch: 10 Train loss: 0.7478594 Val loss: 0.6029842 epoch: 20 Train loss: 0.7700991 Val loss: 0.6105425 epoch: 30 Train loss: 0.7340216 Val loss: 0.6602426 early stop at epoch: 33 Train loss: 0.82791 Val loss: 0.6469655 epoch: 10 Train loss: 0.5273364 Val loss: 0.58466 epoch: 20 Train loss: 0.4626501 Val loss: 0.5301526 epoch: 30 Train loss: 0.4510717 Val loss: 0.5539699 early stop at epoch: 30 Train loss: 0.4510717 Val loss: 0.5539699 epoch: 10 Train loss: 0.5515197 Val loss: 0.5940535 epoch: 20 Train loss: 0.5589992 Val loss: 0.5536286 epoch: 30 Train loss: 0.5773443 Val loss: 0.5408852 epoch: 40 Train loss: 0.5690995 Val loss: 0.5068976 epoch: 50 Train loss: 0.6083781 Val loss: 0.5089527 early stop at epoch: 54 Train loss: 0.6084317 Val loss: 0.5165728 time: 80.935 sec elapsed random search: 198.867 sec elapsed epoch: 10 Train loss: 0.07086423 Val loss: 0.1388676 epoch: 20 Train loss: 0.07086423 Val loss: 0.07086423 epoch: 30 Train loss: 0.07086423 Val loss: 0.142736 epoch: 40 Train loss: 0.07086423 Val loss: 0.1257446 epoch: 50 Train loss: 0.07086423 Val loss: 0.07086423 epoch: 60 Train loss: 0.07086423 Val loss: 0.07086423 epoch: 70 Train loss: 0.07086423 Val loss: 0.07086423 epoch: 80 Train loss: 0.07086423 Val loss: 0.07086423 epoch: 90 Train loss: 0.07086423 Val loss: 0.07086423 epoch: 100 Train loss: 0.07086423 Val loss: 0.07086423 epoch: 10 Train loss: 0.1184543 Val loss: 0.1184543 epoch: 20 Train loss: 0.2012536 Val loss: 0.2306222 epoch: 30 Train loss: 0.1184543 Val loss: 0.1225919 early stop at epoch: 32 Train loss: 0.1184543 Val loss: 0.229417 epoch: 10 Train loss: 0.07893316 Val loss: 0.07893316 epoch: 20 Train loss: 0.07893316 Val loss: 0.07893316 epoch: 30 Train loss: 0.07893316 Val loss: 0.3078472 epoch: 40 Train loss: 0.131701 Val loss: 0.07893316 epoch: 50 Train loss: 0.07893316 Val loss: 0.07893316 epoch: 60 Train loss: 0.2089476 Val loss: 0.1126959 epoch: 70 Train loss: 0.07893316 Val loss: 0.198078 epoch: 80 Train loss: 0.07893316 Val loss: 0.07893316 epoch: 90 Train loss: 0.07893316 Val loss: 0.3511017 epoch: 100 Train loss: 0.1628903 Val loss: 0.07893316 time: 74.519 sec elapsed [ FAIL 1 | WARN 69 | SKIP 0 | PASS 46 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test.R:89:13'): Correct outcome format and size for base outcome3 ─── <purrr_error_indexed/rlang_error/error/condition> Error in `purrr::pmap(hyper_params, ~spinner(graph, target, node_labels, edge_labels, context_labels, direction = ..1, sampling = NA, threshold = 0.01, method = ..2, node_embedding_size = ..13, edge_embedding_size = ..14, context_embedding_size = ..15, update_order = ..3, n_layers = ..4, skip_shortcut = ..5, forward_layer = ..6, forward_activation = ..7, forward_drop = ..8, mode = ..9, optimization = ..10, epochs, lr = ..11, patience, weight_decay = ..12, reps, folds, holdout, verbose, seed))`: i In index: 2. Caused by error in `pmap()`: i In index: 1. Caused by error in `training_function()`: ! not enough data for training [ FAIL 1 | WARN 69 | SKIP 0 | PASS 46 ] Error: Test failures Execution halted Flavor: r-devel-linux-x86_64-debian-gcc