Hi guys
I have been trying to load and install the bonsai package to perform regression using the lightgbm engine but I keep encountering the error:
Error: package or namespace load failed for ‘bonsai’:
.onLoad failed in loadNamespace() for 'bonsai', details:
call: is_discordant_info(model, mode, eng, new_fit)
error: The combination of engine 'lightgbm' and mode 'regression' already has fit data for model 'boost_tree' and the new information being registered is different.
I have:
-Downloaded RTools 4.4
-Downloaded RStudio again
-Restarted RStudio, and still no success
Please find below the sessionInfo:
Error: package or namespace load failed for ‘bonsai’:
.onLoad failed in loadNamespace() for 'bonsai', details:
call: is_discordant_info(model, mode, eng, new_fit)
error: The combination of engine 'lightgbm' and mode 'regression' already has fit data for model 'boost_tree' and the new information being registered is different.
sessionInfo()
R version 4.2.2 (2022-10-31 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19045)
Matrix products: default
locale:
[1] LC_COLLATE=English_South Africa.utf8 LC_CTYPE=English_South Africa.utf8
[3] LC_MONETARY=English_South Africa.utf8 LC_NUMERIC=C
[5] LC_TIME=English_South Africa.utf8
attached base packages:
[1] parallel stats graphics grDevices utils datasets methods base
other attached packages:
[1] doMC_1.3.5 iterators_1.0.14 foreach_1.5.2 probably_1.0.3
[5] reticulate_1.35.0 flextable_0.9.5 glmulti_1.0.8 leaps_3.1
[9] rJava_1.0-11 sjPlot_2.8.15 car_3.1-2 carData_3.0-5
[13] tictoc_1.2.1 janitor_2.2.0 naniar_1.1.0 skimr_2.1.5
[17] corrr_0.4.4 kableExtra_1.4.0 here_1.0.1 finetune_1.1.0
[21] ggpie_0.2.5 lightgbm_4.3.0 treesnip_0.1.0.9001 yardstick_1.3.0
[25] workflowsets_1.0.1 workflows_1.1.4 tune_1.1.2 rsample_1.2.0
[29] recipes_1.0.10 parsnip_1.2.0 modeldata_1.3.0 infer_1.0.6
[33] dials_1.2.1 broom_1.0.5 tidymodels_1.1.1 silgelib_0.1.1
[37] scales_1.3.0 lubridate_1.9.3 forcats_1.0.0 stringr_1.5.1
[41] dplyr_1.1.4 purrr_1.0.2 readr_2.1.5 tidyr_1.3.1
[45] tibble_3.2.1 ggplot2_3.5.0 tidyverse_2.0.0 knitr_1.45
loaded via a namespace (and not attached):
[1] utf8_1.2.4 tidyselect_1.2.1 lme4_1.1-35.1
[4] grid_4.2.2 munsell_0.5.0 codetools_0.2-19
[7] ragg_1.3.0 future_1.33.1 withr_3.0.0
[10] colorspace_2.1-0 uuid_1.2-0 rstudioapi_0.15.0
[13] officer_0.6.5 fontLiberation_0.1.0 listenv_0.9.1
[16] emmeans_1.10.0 repr_1.1.6 DiceDesign_1.10
[19] rprojroot_2.0.4 parallelly_1.37.1 vctrs_0.6.5
[22] generics_0.1.3 TH.data_1.1-2 ipred_0.9-14
[25] xfun_0.42 timechange_0.3.0 fontquiver_0.2.1
[28] R6_2.5.1 lhs_1.1.6 promises_1.2.1
[31] multcomp_1.4-25 nnet_7.3-19 gtable_0.3.4
[34] globals_0.16.3 sandwich_3.1-0 timeDate_4032.109
[37] rlang_1.1.3 systemfonts_1.0.6 splines_4.2.2
[40] abind_1.4-5 modelr_0.1.11 backports_1.4.1
[43] httpuv_1.6.14 tools_4.2.2 lava_1.8.0
[46] ellipsis_0.3.2 RColorBrewer_1.1-3 Rcpp_1.0.12
[49] base64enc_0.1-3 rpart_4.1.23 openssl_2.1.1
[52] zoo_1.8-12 ggrepel_0.9.5 furrr_0.3.1
[55] crul_1.4.0 magrittr_2.0.3 data.table_1.15.2
[58] GPfit_1.0-8 mvtnorm_1.2-4 ggnewscale_0.4.10
[61] sjmisc_2.8.9 hms_1.1.3 mime_0.12
[64] evaluate_0.23 xtable_1.8-4 sjstats_0.18.2
[67] ggeffects_1.5.0 compiler_4.2.2 fontBitstreamVera_0.1.1
[70] crayon_1.5.2 minqa_1.2.6 htmltools_0.5.7
[73] later_1.3.2 tzdb_0.4.0 visdat_0.6.0
[76] sjlabelled_1.2.0 MASS_7.3-60.0.1 boot_1.3-30
[79] Matrix_1.6-5 cli_3.6.2 insight_0.19.9
[82] gower_1.0.1 pkgconfig_2.0.3 xml2_1.3.6
[85] svglite_2.1.3 hardhat_1.3.1 estimability_1.4.1
[88] prodlim_2023.08.28 snakecase_0.11.1 digest_0.6.34
[91] httpcode_0.3.0 rmarkdown_2.26 gdtools_0.3.6
[94] curl_5.2.0 shiny_1.8.0 nloptr_2.0.3
[97] lifecycle_1.0.4 nlme_3.1-164 jsonlite_1.8.8
[100] viridisLite_0.4.2 askpass_1.2.0 fansi_1.0.6
[103] pillar_1.9.0 lattice_0.22-5 fastmap_1.1.1
[106] survival_3.5-8 glue_1.7.0 bayestestR_0.13.2
[109] zip_2.3.1 png_0.1-8 class_7.3-22
[112] stringi_1.8.3 performance_0.10.9 textshaping_0.3.7
[115] gfonts_0.2.0 future.apply_1.11.1