CRAN Package Check Results for Package grafzahl

Last updated on 2026-06-04 07:52:30 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.0.12 11.03 101.49 112.52 OK
r-devel-linux-x86_64-debian-gcc 0.0.12 8.46 72.82 81.28 OK
r-devel-linux-x86_64-fedora-clang 0.0.12 20.00 168.04 188.04 OK
r-devel-linux-x86_64-fedora-gcc 0.0.12 17.00 164.47 181.47 OK
r-devel-windows-x86_64 0.0.12 14.00 122.00 136.00 ERROR
r-patched-linux-x86_64 0.0.12 10.11 92.61 102.72 OK
r-release-linux-x86_64 0.0.12 10.11 92.86 102.97 OK
r-release-macos-arm64 0.0.12 3.00 29.00 32.00 OK
r-release-macos-x86_64 0.0.12 8.00 150.00 158.00 OK
r-release-windows-x86_64 0.0.12 15.00 120.00 135.00 ERROR
r-oldrel-macos-arm64 0.0.12 OK
r-oldrel-macos-x86_64 0.0.12 7.00 97.00 104.00 OK
r-oldrel-windows-x86_64 0.0.12 18.00 140.00 158.00 OK

Check Details

Version: 0.0.12
Check: examples
Result: ERROR Running examples in 'grafzahl-Ex.R' failed The error most likely occurred in: > ### Name: grafzahl > ### Title: Fine tune a pretrained Transformer model for texts > ### Aliases: grafzahl grafzahl.default grafzahl.corpus > ### textmodel_transformer grafzahl.character > > ### ** Examples > > if (detect_conda() && interactive()) { + library(quanteda) + set.seed(20190721) + ## Using the default cross validation method + model1 <- grafzahl(unciviltweets, model_type = "bertweet", model_name = "vinai/bertweet-base") + predict(model1) + + ## Using LIME + input <- corpus(ecosent, text_field = "headline") + training_corpus <- corpus_subset(input, !gold) + model2 <- grafzahl(x = training_corpus, + y = "value", + model_name = "GroNLP/bert-base-dutch-cased") + test_corpus <- corpus_subset(input, gold) + predicted_sentiment <- predict(model2, test_corpus) + require(lime) + sentences <- c("Dijsselbloem pessimistisch over snelle stappen Grieken", + "Aandelenbeurzen zetten koersopmars voort") + explainer <- lime(training_corpus, model2) + explanations <- explain(sentences, explainer, n_labels = 1, + n_features = 2) + plot_text_explanations(explanations) + } Error: lexical error: invalid character inside string. e1f873f05c6;D:\\temp\\2026_01_ 26_01_50_00_31713\\RtmpgB10JV (right here) ------^ Execution halted Flavor: r-devel-windows-x86_64

Version: 0.0.12
Check: examples
Result: ERROR Running examples in 'grafzahl-Ex.R' failed The error most likely occurred in: > ### Name: grafzahl > ### Title: Fine tune a pretrained Transformer model for texts > ### Aliases: grafzahl grafzahl.default grafzahl.corpus > ### textmodel_transformer grafzahl.character > > ### ** Examples > > if (detect_conda() && interactive()) { + library(quanteda) + set.seed(20190721) + ## Using the default cross validation method + model1 <- grafzahl(unciviltweets, model_type = "bertweet", model_name = "vinai/bertweet-base") + predict(model1) + + ## Using LIME + input <- corpus(ecosent, text_field = "headline") + training_corpus <- corpus_subset(input, !gold) + model2 <- grafzahl(x = training_corpus, + y = "value", + model_name = "GroNLP/bert-base-dutch-cased") + test_corpus <- corpus_subset(input, gold) + predicted_sentiment <- predict(model2, test_corpus) + require(lime) + sentences <- c("Dijsselbloem pessimistisch over snelle stappen Grieken", + "Aandelenbeurzen zetten koersopmars voort") + explainer <- lime(training_corpus, model2) + explanations <- explain(sentences, explainer, n_labels = 1, + n_features = 2) + plot_text_explanations(explanations) + } Error: lexical error: inside a string, '\' occurs before a character which it may not. ntmatter173f077057b1;D:\\temp\ \2026_01_27_01_50_00_18947\\R (right here) ------^ Execution halted Flavor: r-release-windows-x86_64