Prophet + lightgbm unused argument error

[sdbentrup]

Hello, I am getting the following error:

Error in lightgbm::lgb.Dataset(data = prepare_df_lgbm(predictors), label = prophet_residuals, :
unused Argument (feature_pre_filter = FALSE)

It seems the argument feature_pre_filter maybe is not used in lgb.Dataset() in R.

Reprex:

library(tidymodels)
library(boostime)
library(modeltime)
library(tidyverse)
library(timetk)
library(lubridate)
# This toggles plots from plotly (interactive) to ggplot (static)

m750 <- m4_monthly %>% filter(id == "M750")

splits <- initial_time_split(m750, prop = 0.8)

model_prophet_lightgbm <- boost_prophet() %>%
  set_engine("prophet_lightgbm") %>%
  fit(value ~ date + month(date), data = training(splits))

I am happy to help test if needed :)

session info:

R version 4.5.0 (2025-04-11 ucrt) Platform: x86_64-w64-mingw32/x64 Running under: Windows 11 x64 (build 26100) Matrix products: default LAPACK version 3.12.1 locale: [1] LC_COLLATE=German_Austria.utf8 LC_CTYPE=German_Austria.utf8 LC_MONETARY=German_Austria.utf8 [4] LC_NUMERIC=C LC_TIME=German_Austria.utf8 time zone: Europe/Berlin tzcode source: internal attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] rvest_1.0.4 ggthemes_5.1.0 shapviz_0.9.7 [4] rstatix_0.7.2 plotly_4.10.4 data.table_1.17.4 [7] PortfolioAnalytics_2.1.0 baguette_1.1.0 bonsai_0.3.2 [10] timetk_2.9.0 lubridate_1.9.4 forcats_1.0.0 [13] stringr_1.5.1 readr_2.1.5 tidyverse_2.0.0 [16] PerformanceAnalytics_2.0.8 quantmod_0.4.27 TTR_0.24.4 [19] xts_0.14.1 zoo_1.8-14 tidyquant_1.0.11 [22] doFuture_1.1.1 foreach_1.5.2 future.apply_1.20.0 [25] future_1.58.0 tictoc_1.2.1 prophet_1.0 [28] rlang_1.1.6 Rcpp_1.0.14 lightgbm_4.6.0 [31] xgboost_1.7.11.1 finetune_1.2.1 boostime_0.1.0 [34] modeltime.ensemble_1.0.4 modeltime.resample_0.2.3 modeltime_1.3.1 [37] yardstick_1.3.2 workflowsets_1.1.1 workflows_1.2.0 [40] tune_1.3.0 tidyr_1.3.1 tibble_3.3.0 [43] rsample_1.3.0 recipes_1.3.1 purrr_1.0.4 [46] parsnip_1.3.2 modeldata_1.4.0 infer_1.0.8 [49] ggplot2_3.5.2 dplyr_1.1.4 dials_1.4.0 [52] scales_1.4.0 broom_1.0.8 tidymodels_1.3.0 loaded via a namespace (and not attached): [1] splines_4.5.0 hardhat_1.4.1 janitor_2.2.1 [4] rpart_4.1.24 sparsevctrs_0.3.4 lifecycle_1.0.4 [7] Rdpack_2.6.4 StanHeaders_2.32.10 GenSA_1.1.14.1 [10] globals_0.18.0 lattice_0.22-6 MASS_7.3-65 [13] backports_1.5.0 magrittr_2.0.3 C50_0.2.0 [16] pkgbuild_1.4.8 minqa_1.2.8 RColorBrewer_1.1-3 [19] abind_1.4-8 quadprog_1.5-8 nnet_7.3-20 [22] ipred_0.9-15 lava_1.8.1 pso_1.0.4 [25] inline_0.3.21 listenv_0.9.1 parallelly_1.45.0 [28] codetools_0.2-20 xml2_1.3.8 tidyselect_1.2.1 [31] shape_1.4.6.1 farver_2.1.2 lme4_1.1-37 [34] matrixStats_1.5.0 stats4_4.5.0 Rsymphony_0.1-33 [37] jsonlite_2.0.0 Formula_1.2-5 survival_3.8-3 [40] iterators_1.0.14 tools_4.5.0 glue_1.8.0 [43] prodlim_2025.04.28 gridExtra_2.3 loo_2.8.0 [46] withr_3.0.2 numDeriv_2016.8-1.1 fastmap_1.2.0 [49] boot_1.3-31 digest_0.6.37 timechange_0.3.0 [52] R6_2.6.1 inum_1.0-5 utf8_1.2.6 [55] generics_0.1.4 class_7.3-23 httr_1.4.7 [58] htmlwidgets_1.6.4 pkgconfig_2.0.3 gtable_0.3.6 [61] timeDate_4041.110 registry_0.5-1 GPfit_1.0-9 [64] furrr_0.3.1 htmltools_0.5.8.1 sfd_0.1.0 [67] carData_3.0-5 gower_1.0.2 reformulas_0.4.1 [70] snakecase_0.11.1 rstudioapi_0.17.1 ROI_1.0-1 [73] tzdb_0.5.0 reshape2_1.4.4 checkmate_2.3.2 [76] nlme_3.1-168 curl_6.2.2 nloptr_2.2.1 [79] parallel_4.5.0 libcoin_1.0-10 warp_0.2.1 [82] pillar_1.10.2 grid_4.5.0 vctrs_0.6.5 [85] slam_0.1-55 car_3.1-3 lhs_1.2.0 [88] RobStatTM_1.0.11 Cubist_0.5.0 mvtnorm_1.3-3 [91] cli_3.6.5 compiler_4.5.0 crayon_1.5.3 [94] labeling_0.4.3 mco_1.17 plyr_1.8.9 [97] stringi_1.8.7 rstan_2.32.7 viridisLite_0.4.2 [100] QuickJSR_1.8.0 lazyeval_0.2.2 glmnet_4.1-9 [103] V8_6.0.4 Matrix_1.7-3 catboost_1.2.8 [106] hms_1.1.3 extraDistr_1.10.0 ROI.plugin.symphony_1.0-0 [109] rbibutils_2.3 slider_0.3.2 partykit_1.2-24 [112] RcppParallel_5.1.10 DiceDesign_1.10 --     |