CRAN Package Check Results for Maintainer ‘Marc Becker <marcbecker at posteo.de>’

Last updated on 2024-07-24 12:21:28 CEST.

Package ERROR NOTE OK
bbotk 2 11
farff 1 12
mlr3 2 11
mlr3batchmark 2 11
mlr3fselect 2 11
mlr3hyperband 2 11
mlr3learners 3 10
mlr3measures 13
mlr3spatial 2 11
mlr3tuning 2 11
mlr3tuningspaces 13
mlr3verse 2 11
mlr3viz 2 1 10
rush 13

Package bbotk

Current CRAN status: ERROR: 2, OK: 11

Version: 1.0.0
Check: package dependencies
Result: ERROR Package required and available but unsuitable version: ‘paradox’ See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ manual. Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64

Package farff

Current CRAN status: NOTE: 1, OK: 12

Version: 1.1.1
Check: Rd cross-references
Result: NOTE Undeclared package ‘RWeka’ in Rd xrefs Flavor: r-devel-linux-x86_64-fedora-clang

Package mlr3

Current CRAN status: ERROR: 2, OK: 11

Version: 0.20.1
Check: whether package can be installed
Result: WARN Found the following significant warnings: Note: possible error in 'p_int(1, default = 1, ': unused arguments (aggr = iter_aggr, in_tune_fn = iter_tune_fn, disable_in_tune = list(early_stopping = FALSE)) See ‘/Volumes/Builds/packages/big-sur-arm64/results/4.3/mlr3.Rcheck/00install.out’ for details. Information on the location(s) of code generating the ‘Note’s can be obtained by re-running with environment variable R_KEEP_PKG_SOURCE set to ‘yes’. Flavor: r-oldrel-macos-arm64

Version: 0.20.1
Check: R code for possible problems
Result: NOTE .__LearnerClassifDebug__initialize: possible error in p_int(1, default = 1, tags = c("train", "hotstart", "internal_tuning"), aggr = iter_aggr, in_tune_fn = iter_tune_fn, disable_in_tune = list(early_stopping = FALSE)): unused arguments (aggr = iter_aggr, in_tune_fn = iter_tune_fn, disable_in_tune = list(early_stopping = FALSE)) Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64

Version: 0.20.1
Check: examples
Result: ERROR Running examples in ‘mlr3-Ex.R’ failed The error most likely occurred in: > ### Name: HotstartStack > ### Title: Stack for Hot Start Learners > ### Aliases: HotstartStack > > ### ** Examples > > # train learner on pima task > task = tsk("pima") > learner = lrn("classif.debug", iter = 1) Error in p_int(1, default = 1, tags = c("train", "hotstart", "internal_tuning"), : unused arguments (aggr = iter_aggr, in_tune_fn = iter_tune_fn, disable_in_tune = list(early_stopping = FALSE)) Calls: lrn ... <Anonymous> -> initialize -> .__LearnerClassifDebug__initialize Execution halted Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64

Version: 0.20.1
Check: tests
Result: ERROR Running ‘testthat.R’ [45s/49s] Running the tests in ‘tests/testthat.R’ failed. Last 13 lines of output: Backtrace: ▆ 1. └─mlr3::lrn("classif.debug") at test_set_threads.R:5:3 2. └─mlr3misc::dictionary_sugar_get(mlr_learners, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) `<fn>`() 7. └─LearnerClassifDebug$new() 8. └─mlr3 (local) initialize(...) 9. └─mlr3:::.__LearnerClassifDebug__initialize(...) [ FAIL 124 | WARN 0 | SKIP 4 | PASS 11578 ] Error: Test failures Execution halted Flavor: r-oldrel-macos-arm64

Version: 0.20.1
Check: whether package can be installed
Result: WARN Found the following significant warnings: Note: possible error in 'p_int(1, default = 1, ': unused arguments (aggr = iter_aggr, in_tune_fn = iter_tune_fn, disable_in_tune = list(early_stopping = FALSE)) See ‘/Volumes/Builds/packages/big-sur-x86_64/results/4.3/mlr3.Rcheck/00install.out’ for details. Information on the location(s) of code generating the ‘Note’s can be obtained by re-running with environment variable R_KEEP_PKG_SOURCE set to ‘yes’. Flavor: r-oldrel-macos-x86_64

Version: 0.20.1
Check: tests
Result: ERROR Running ‘testthat.R’ [70s/106s] Running the tests in ‘tests/testthat.R’ failed. Last 13 lines of output: Backtrace: ▆ 1. └─mlr3::lrn("classif.debug") at test_set_threads.R:5:3 2. └─mlr3misc::dictionary_sugar_get(mlr_learners, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) `<fn>`() 7. └─LearnerClassifDebug$new() 8. └─mlr3 (local) initialize(...) 9. └─mlr3:::.__LearnerClassifDebug__initialize(...) [ FAIL 124 | WARN 0 | SKIP 4 | PASS 11578 ] Error: Test failures Execution halted Flavor: r-oldrel-macos-x86_64

Package mlr3batchmark

Current CRAN status: NOTE: 2, OK: 11

Version: 0.1.1
Check: Rd cross-references
Result: NOTE Found the following Rd file(s) with Rd \link{} targets missing package anchors: batchmark.Rd: data.table 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-gcc, r-devel-windows-x86_64

Package mlr3fselect

Current CRAN status: ERROR: 2, OK: 11

Version: 1.0.0
Check: package dependencies
Result: ERROR Packages required and available but unsuitable versions: 'bbotk', 'paradox' See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ manual. Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64

Package mlr3hyperband

Current CRAN status: ERROR: 2, OK: 11

Version: 0.6.0
Check: package dependencies
Result: ERROR Packages required and available but unsuitable versions: 'mlr3tuning', 'bbotk' See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ manual. Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64

Package mlr3learners

Current CRAN status: ERROR: 3, OK: 10

Version: 0.7.0
Check: tests
Result: ERROR Running ‘testthat.R’ [95s/304s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > if (requireNamespace("testthat", quietly = TRUE)) { + library("testthat") + library("mlr3learners") + test_check("mlr3learners") + } Loading required package: mlr3 WARN [16:16:12.021] [mlr3] train: one multinomial or binomial class has fewer than 8 observations; dangerous ground WARN [16:16:12.503] [mlr3] train: one multinomial or binomial class has fewer than 8 observations; dangerous ground WARN [16:16:14.176] [mlr3] train: one multinomial or binomial class has fewer than 8 observations; dangerous ground WARN [16:16:14.185] [mlr3] train: one multinomial or binomial class has fewer than 8 observations; dangerous ground WARN [16:16:19.809] [mlr3] train: one multinomial or binomial class has fewer than 8 observations; dangerous ground WARN [16:16:21.249] [mlr3] train: one multinomial or binomial class has fewer than 8 observations; dangerous ground WARN [16:18:06.793] [mlr3] train: glm.fit: algorithm did not converge WARN [16:18:06.796] [mlr3] train: glm.fit: fitted probabilities numerically 0 or 1 occurred WARN [16:18:07.154] [mlr3] train: glm.fit: algorithm did not converge WARN [16:18:07.156] [mlr3] train: glm.fit: fitted probabilities numerically 0 or 1 occurred WARN [16:18:07.566] [mlr3] train: glm.fit: algorithm did not converge WARN [16:18:07.569] [mlr3] train: glm.fit: fitted probabilities numerically 0 or 1 occurred WARN [16:18:08.215] [mlr3] train: glm.fit: algorithm did not converge WARN [16:18:08.237] [mlr3] train: glm.fit: fitted probabilities numerically 0 or 1 occurred WARN [16:18:08.919] [mlr3] train: glm.fit: algorithm did not converge WARN [16:18:08.921] [mlr3] train: glm.fit: fitted probabilities numerically 0 or 1 occurred WARN [16:18:09.424] [mlr3] train: glm.fit: algorithm did not converge WARN [16:18:09.442] [mlr3] train: glm.fit: fitted probabilities numerically 0 or 1 occurred # weights: 18 (10 variable) initial value 164.791843 iter 10 value 16.177348 iter 20 value 7.111438 iter 30 value 6.182999 iter 40 value 5.984028 iter 50 value 5.961278 iter 60 value 5.954900 iter 70 value 5.951851 iter 80 value 5.950343 iter 90 value 5.949904 iter 100 value 5.949867 final value 5.949867 stopped after 100 iterations [ FAIL 1 | WARN 0 | SKIP 3 | PASS 549 ] ══ Skipped tests (3) ═══════════════════════════════════════════════════════════ • On CRAN (3): 'test_classif_nnet.R:2:1', 'test_classif_xgboost.R:2:1', 'test_regr_xgboost.R:2:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test_regr_nnet.R:7:3'): autotest ────────────────────────────────── `result` is not TRUE `actual` is a list `expected` is a logical vector (TRUE) [score()] learner 'regr.nnet:response' on task 'sanity' failed: sanity check failed [ FAIL 1 | WARN 0 | SKIP 3 | PASS 549 ] Error: Test failures Execution halted Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.7.0
Check: package dependencies
Result: ERROR Packages required and available but unsuitable versions: 'mlr3', 'paradox' See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ manual. Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64

Package mlr3measures

Current CRAN status: OK: 13

Package mlr3spatial

Current CRAN status: NOTE: 2, OK: 11

Version: 0.5.0
Check: Rd cross-references
Result: NOTE Found the following Rd file(s) with Rd \link{} targets missing package anchors: TaskClassifST.Rd: TaskClassif, DataBackend, DataBackendDataTable, convert_task TaskRegrST.Rd: TaskRegr, DataBackend, DataBackendDataTable, convert_task as_data_backend.Rd: DataBackend as_task_classif_st.Rd: DataBackend, TaskRegr, convert_task as_task_regr_st.Rd: DataBackend, TaskClassif, convert_task predict_spatial.Rd: Learner 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-gcc, r-devel-windows-x86_64

Package mlr3tuning

Current CRAN status: ERROR: 2, OK: 11

Version: 1.0.0
Check: package dependencies
Result: ERROR Packages required and available but unsuitable versions: 'mlr3', 'paradox', 'bbotk' See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ manual. Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64

Package mlr3tuningspaces

Current CRAN status: OK: 13

Package mlr3verse

Current CRAN status: ERROR: 2, OK: 11

Version: 0.3.0
Check: package dependencies
Result: ERROR Packages required and available but unsuitable versions: 'mlr3', 'bbotk', 'mlr3fselect', 'mlr3learners', 'mlr3tuning', 'paradox' See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ manual. Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64

Package mlr3viz

Current CRAN status: ERROR: 2, NOTE: 1, OK: 10

Version: 0.9.0
Check: Rd cross-references
Result: NOTE Undeclared package ‘stabm’ in Rd xrefs Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.9.0
Check: Rd cross-references
Result: WARN Missing link or links in documentation object 'autoplot.EnsembleFSResult.Rd': ‘[mlr3fselect:ensemble_fs_result]{EnsembleFSResult}’ ‘[mlr3fselect:ensemble_fs_result]{mlr3fselect::EnsembleFSResult}’ Missing link or links in documentation object 'autoplot.OptimInstanceBatchSingleCrit.Rd': ‘[bbotk:OptimInstanceBatchSingleCrit]{bbotk::OptimInstanceBatchSingleCrit}’ Missing link or links in documentation object 'autoplot.TuningInstanceBatchSingleCrit.Rd': ‘[mlr3tuning:TuningInstanceBatchSingleCrit]{mlr3tuning::TuningInstanceBatchSingleCrit}’ See section 'Cross-references' in the 'Writing R Extensions' manual. Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64

Version: 0.9.0
Check: examples
Result: ERROR Running examples in ‘mlr3viz-Ex.R’ failed The error most likely occurred in: > ### Name: autoplot.OptimInstanceBatchSingleCrit > ### Title: Plots for Optimization Instances > ### Aliases: autoplot.OptimInstanceBatchSingleCrit > > ### ** Examples > > if (requireNamespace("mlr3") && requireNamespace("bbotk") && requireNamespace("patchwork")) { + library(bbotk) + library(paradox) + + fun = function(xs) { + c(y = -(xs[[1]] - 2)^2 - (xs[[2]] + 3)^2 + 10) + } + domain = ps( + x1 = p_dbl(-10, 10), + x2 = p_dbl(-5, 5) + ) + codomain = ps( + y = p_dbl(tags = "maximize") + ) + obfun = ObjectiveRFun$new( + fun = fun, + domain = domain, + codomain = codomain + ) + + instance = oi(objective = obfun, terminator = trm("evals", n_evals = 20)) + + optimizer = opt("random_search", batch_size = 2) + optimizer$optimize(instance) + + # plot y versus batch number + print(autoplot(instance, type = "performance")) + + # plot x1 values versus performance + print(autoplot(instance, type = "marginal", cols_x = "x1")) + + # plot parallel coordinates plot + print(autoplot(instance, type = "parallel")) + + # plot pairs + print(autoplot(instance, type = "pairs")) + + # plot incumbent + print(autoplot(instance, type = "incumbent")) + } Loading required namespace: bbotk Loading required namespace: patchwork Loading required package: paradox Error in oi(objective = obfun, terminator = trm("evals", n_evals = 20)) : could not find function "oi" Execution halted Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64

Version: 0.9.0
Check: tests
Result: ERROR Running ‘testthat.R’ [21s/14s] Running the tests in ‘tests/testthat.R’ failed. Last 13 lines of output: • TuningInstanceSingleCrit/tisc-parameter-trafo-01.svg • TuningInstanceSingleCrit/tisc-parameter-trafo-02.svg • TuningInstanceSingleCrit/tisc-parameter-x-domain-01.svg • TuningInstanceSingleCrit/tisc-performance.svg • TuningInstanceSingleCrit/tisc-points.svg • TuningInstanceSingleCrit/tisc-surface-grid-50.svg • TuningInstanceSingleCrit/tisc-surface-regr-lm.svg • TuningInstanceSingleCrit/tisc-surface.svg • plot_learner_prediction/learner-prediction-1d-se.svg • plot_learner_prediction/learner-prediction-binary-prob.svg • plot_learner_prediction/learner-prediction-binary-response.svg • plot_learner_prediction/learner-prediction-categorical.svg • plot_learner_prediction/learner-prediction-prob.svg Error: Test failures Execution halted Flavor: r-oldrel-macos-arm64

Version: 0.9.0
Check: tests
Result: ERROR Running ‘testthat.R’ [30s/27s] Running the tests in ‘tests/testthat.R’ failed. Last 13 lines of output: • TuningInstanceSingleCrit/tisc-parameter-trafo-01.svg • TuningInstanceSingleCrit/tisc-parameter-trafo-02.svg • TuningInstanceSingleCrit/tisc-parameter-x-domain-01.svg • TuningInstanceSingleCrit/tisc-performance.svg • TuningInstanceSingleCrit/tisc-points.svg • TuningInstanceSingleCrit/tisc-surface-grid-50.svg • TuningInstanceSingleCrit/tisc-surface-regr-lm.svg • TuningInstanceSingleCrit/tisc-surface.svg • plot_learner_prediction/learner-prediction-1d-se.svg • plot_learner_prediction/learner-prediction-binary-prob.svg • plot_learner_prediction/learner-prediction-binary-response.svg • plot_learner_prediction/learner-prediction-categorical.svg • plot_learner_prediction/learner-prediction-prob.svg Error: Test failures Execution halted Flavor: r-oldrel-macos-x86_64

Package rush

Current CRAN status: OK: 13