CRAN Package Check Results for Package mlr3pipelines

Last updated on 2025-05-27 12:50:25 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.7.2 34.84 594.45 629.29 OK
r-devel-linux-x86_64-debian-gcc 0.7.2 21.99 379.55 401.54 OK
r-devel-linux-x86_64-fedora-clang 0.7.2 962.68 OK
r-devel-linux-x86_64-fedora-gcc 0.7.2 989.24 OK
r-devel-windows-x86_64 0.7.2 35.00 467.00 502.00 OK
r-patched-linux-x86_64 0.7.2 53.64 530.46 584.10 ERROR
r-release-linux-x86_64 0.7.2 36.17 557.61 593.78 OK
r-release-macos-arm64 0.7.2 251.00 OK
r-release-macos-x86_64 0.7.2 492.00 OK
r-release-windows-x86_64 0.7.2 38.00 466.00 504.00 OK
r-oldrel-macos-arm64 0.7.2 183.00 OK
r-oldrel-macos-x86_64 0.7.2 368.00 OK
r-oldrel-windows-x86_64 0.7.2 50.00 604.00 654.00 OK

Additional issues

noSuggests

Check Details

Version: 0.7.2
Check: examples
Result: ERROR Running examples in ‘mlr3pipelines-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: mlr_graphs_stacking > ### Title: Create A Graph to Perform Stacking. > ### Aliases: mlr_graphs_stacking pipeline_stacking > > ### ** Examples > > ## Don't show: > if (mlr3misc::require_namespaces(c("rpart", "kknn"), quietly = TRUE)) (if (getRversion() >= "3.4") withAutoprint else force)({ # examplesIf + ## End(Don't show) + library(mlr3) + library(mlr3learners) + + base_learners = list( + lrn("classif.rpart", predict_type = "prob"), + lrn("classif.kknn", predict_type = "prob") + ) + super_learner = lrn("classif.log_reg") + + graph_stack = pipeline_stacking(base_learners, super_learner) + graph_learner = as_learner(graph_stack) + graph_learner$train(tsk("german_credit")) + ## Don't show: + }) # examplesIf > library(mlr3) > library(mlr3learners) > base_learners = list(lrn("classif.rpart", predict_type = "prob"), lrn("classif.kknn", + predict_type = "prob")) Error in dictionary_retrieve_item(dict, .key, .dicts_suggest) : Element with key 'classif.kknn' not found in DictionaryLearner! Did you mean 'classif.nnet' / 'classif.glmnet' / 'classif.naive_bayes'? Calls: <Anonymous> ... dictionary_sugar_get -> dictionary_retrieve_item -> stopf Execution halted Examples with CPU (user + system) or elapsed time > 5s user system elapsed mlr_graphs_ovr 3.826 0.039 5.884 Flavor: r-patched-linux-x86_64