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I cannot use linear activation functions in brulee_mlp(). I instead get my favorite R error :)
brulee_mlp()
library(brulee) library(recipes) library(yardstick) data(bivariate, package = "modeldata") set.seed(20) nn_log_biv <- brulee_mlp(Class ~ log(A) + log(B), data = bivariate_train, epochs = 150, hidden_units = 3, activation = "linear") #> Error in x$parameters: object of type 'closure' is not subsettable
R version 4.3.1 (2023-06-16 ucrt) Platform: x86_64-w64-mingw32/x64 (64-bit) Running under: Windows 11 x64 (build 22621) Matrix products: default locale: [1] LC_COLLATE=English_Austria.utf8 LC_CTYPE=English_Austria.utf8 [3] LC_MONETARY=English_Austria.utf8 LC_NUMERIC=C [5] LC_TIME=English_Austria.utf8 time zone: Europe/Vienna tzcode source: internal attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] yardstick_1.2.0 brulee_0.2.0 recipes_1.0.6 dplyr_1.1.2 loaded via a namespace (and not attached): [1] utf8_1.2.3 future_1.32.0 generics_0.1.3 [4] class_7.3-22 lattice_0.21-8 listenv_0.9.0 [7] digest_0.6.31 magrittr_2.0.3 grid_4.3.1 [10] timechange_0.2.0 rprojroot_2.0.3 Matrix_1.5-4.1 [13] processx_3.8.2 nnet_7.3-19 survival_3.5-5 [16] torch_0.11.0 ps_1.7.5 purrr_1.0.1 [19] fansi_1.0.4 scales_1.2.1 coro_1.0.3 [22] codetools_0.2-19 lava_1.7.2.1 cli_3.6.1 [25] rlang_1.1.1 hardhat_1.3.0 parallelly_1.36.0 [28] future.apply_1.11.0 munsell_0.5.0 bit64_4.0.5 [31] splines_4.3.1 withr_2.5.0 prodlim_2023.03.31 [34] tools_4.3.1 parallel_4.3.1 colorspace_2.1-0 [37] ggplot2_3.4.3 globals_0.16.2 vctrs_0.6.2 [40] R6_2.5.1 rpart_4.1.19 lifecycle_1.0.3 [43] lubridate_1.9.2 bit_4.0.5 MASS_7.3-60 [46] desc_1.4.2 pkgconfig_2.0.3 callr_3.7.3 [49] gtable_0.3.3 pillar_1.9.0 data.table_1.14.8 [52] glue_1.6.2 Rcpp_1.0.10 tibble_3.2.1 [55] tidyselect_1.2.0 ipred_0.9-14 timeDate_4022.108 [58] gower_1.0.1 compiler_4.3.1
The text was updated successfully, but these errors were encountered:
Any update on this? Still can't use it
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The problem
I cannot use linear activation functions in
brulee_mlp()
. I instead get my favorite R error :)Reproducible example
Session info
The text was updated successfully, but these errors were encountered: