CRAN Package Check Results for Maintainer ‘Martin Binder <mlr.developer at mb706.com>’

Last updated on 2025-05-25 21:49:09 CEST.

Package	ERROR	NOTE	OK
miesmuschel			13
mlr		8	5
mlr3pipelines	4		9
paradox			13
ParamHelpers			13

Package miesmuschel

Current CRAN status: OK: 13

Package mlr

Current CRAN status: NOTE: 8, OK: 5

Version: 2.19.2
Check: Rd cross-references
Result: NOTE Found the following Rd file(s) with Rd \link{} targets missing package anchors: TuneMultiCritControl.Rd: OptPath batchmark.Rd: data.table getClassWeightParam.Rd: LearnerParam getLearnerParamSet.Rd: ParamSet getParamSet.Rd: ParamSet makeBaseWrapper.Rd: ParamSet makeExtractFDAFeatMethod.Rd: ParamSet makeModelMultiplexerParamSet.Rd: ParamSet makeTuneControlMBO.Rd: OptPath 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, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-windows-x86_64

Version: 2.19.2
Check: package dependencies
Result: NOTE Package suggested but not available for checking: ‘Rmpi’ Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64

Version: 2.19.2
Check: installed package size
Result: NOTE installed size is 5.6Mb sub-directories of 1Mb or more: R 2.0Mb data 2.3Mb Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64

Package mlr3pipelines

Current CRAN status: ERROR: 4, OK: 9

Additional issues

noSuggests

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 Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Version: 0.7.2
Check: examples
Result: ERROR Running examples in 'mlr3pipelines-Ex.R' failed The error most likely occurred in: > ### 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 Flavor: r-devel-windows-x86_64

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

Package paradox

Current CRAN status: OK: 13

Package ParamHelpers

Current CRAN status: OK: 13