Hi all, I came across the new frontpage of tidymodels and wanted to run the example and go from there but I'm getting stuck on the random forest classification example. This is straight from tidymodels - Evaluate your model with resampling. Here is my session info and the reprex:
> sessionInfo()
R version 4.0.0 (2020-04-24)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows >= 8 x64 (build 9200)
Matrix products: default
locale:
[1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252 LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C LC_TIME=English_United States.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] reprex_0.3.0 forcats_0.5.0 stringr_1.4.0 readr_1.3.1 tidyr_1.0.2 tidyverse_1.3.0 modeldata_0.0.1 yardstick_0.0.6
[9] workflows_0.1.1 tune_0.1.0 tibble_3.0.1 rsample_0.0.6 recipes_0.1.12 purrr_0.3.4 parsnip_0.1.0 infer_0.5.1
[17] ggplot2_3.3.0 dplyr_0.8.5 dials_0.0.6 scales_1.1.0 broom_0.5.6 tidymodels_0.1.0
loaded via a namespace (and not attached):
[1] readxl_1.3.1 backports_1.1.6 tidytext_0.2.4 plyr_1.8.6 igraph_1.2.5 splines_4.0.0 crosstalk_1.1.0.1
[8] listenv_0.8.0 SnowballC_0.7.0 rstantools_2.0.0 inline_0.3.15 digest_0.6.25 foreach_1.5.0 htmltools_0.4.0
[15] rsconnect_0.8.16 fansi_0.4.1 magrittr_1.5 globals_0.12.5 modelr_0.1.7 gower_0.2.1 matrixStats_0.56.0
[22] xts_0.12-0 prettyunits_1.1.1 colorspace_1.4-1 rvest_0.3.5 haven_2.2.0 xfun_0.13 jsonlite_1.6.1
[29] callr_3.4.3 crayon_1.3.4 lme4_1.1-23 survival_3.1-12 zoo_1.8-7 iterators_1.0.12 glue_1.4.0
[36] gtable_0.3.0 ipred_0.9-9 clipr_0.7.0 pkgbuild_1.0.7 rstan_2.19.3 DBI_1.1.0 miniUI_0.1.1.1
[43] Rcpp_1.0.4.6 xtable_1.8-4 GPfit_1.0-8 stats4_4.0.0 lava_1.6.7 StanHeaders_2.19.2 prodlim_2019.11.13
[50] DT_0.13 httr_1.4.1 htmlwidgets_1.5.1 threejs_0.3.3 ellipsis_0.3.0 farver_2.0.3 pkgconfig_2.0.3
[57] loo_2.2.0 nnet_7.3-13 dbplyr_1.4.3 utf8_1.1.4 labeling_0.3 tidyselect_1.0.0 rlang_0.4.5
[64] DiceDesign_1.8-1 reshape2_1.4.4 later_1.0.0 cellranger_1.1.0 munsell_0.5.0 tools_4.0.0 cli_2.0.2
[71] generics_0.0.2 ggridges_0.5.2 evaluate_0.14 fastmap_1.0.1 yaml_2.2.1 fs_1.4.1 processx_3.4.2
[78] knitr_1.28 future_1.17.0 nlme_3.1-147 whisker_0.4 mime_0.9 rstanarm_2.19.3 xml2_1.3.1
[85] tokenizers_0.2.1 compiler_4.0.0 bayesplot_1.7.1 shinythemes_1.1.2 rstudioapi_0.11 curl_4.3 tidyposterior_0.0.2
[92] lhs_1.0.2 statmod_1.4.34 stringi_1.4.6 ps_1.3.2 lattice_0.20-41 Matrix_1.2-18 nloptr_1.2.2.1
[99] markdown_1.1 shinyjs_1.1 vctrs_0.2.4 pillar_1.4.3 lifecycle_0.2.0 furrr_0.1.0 httpuv_1.5.2
[106] R6_2.4.1 promises_1.1.0 gridExtra_2.3 janeaustenr_0.1.5 codetools_0.2-16 boot_1.3-24 colourpicker_1.0
[113] MASS_7.3-51.5 gtools_3.8.2 assertthat_0.2.1 withr_2.2.0 shinystan_2.5.0 hms_0.5.3 parallel_4.0.0
[120] grid_4.0.0 rpart_4.1-15 timeDate_3043.102 class_7.3-16 minqa_1.2.4 rmarkdown_2.1 pROC_1.16.2
[127] tidypredict_0.4.5 shiny_1.4.0.2 lubridate_1.7.8 base64enc_0.1-3 dygraphs_1.1.1.6
