save_workflow = FALSE not removing warning about the workflow being saved with tune_sim_anneal

[kevbaer]

The problem

Hey! Hope you are having a good day. I'm having trouble with removing the warning message:

The workflow being saved contains a recipe, which is 9.66 Mb in
memory. If this was not intentional, please set the control
setting save_workflow = FALSE.

Even though I do have save_workflow = FALSE in my control.

Reproducible example

library(reprex)
library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union
library(readr)
library(parsnip)
library(recipes)
#> 
#> Attaching package: 'recipes'
#> The following object is masked from 'package:stats':
#> 
#>     step
library(rsample)
library(tune)
library(workflowsets)
library(finetune)


set.seed(1)

jj <- read_csv("https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2023/2023-05-09/childcare_costs.csv") |>
  na.omit()
#> Rows: 34567 Columns: 61
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ","
#> dbl (61): county_fips_code, study_year, unr_16, funr_16, munr_16, unr_20to64...
#> 
#> ℹ Use `spec()` to retrieve the full column specification for this data.
#> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.

data_split <- jj |>
  initial_split()

train <- training(data_split)
folds <- vfold_cv(train, v = 3)

xgb_rec <-
  recipe(mcsa ~ ., data = train)

xgb_spec <-
  boost_tree(
    tree_depth = tune()
  ) |>
  set_engine("xgboost") |>
  set_mode("regression")

set <-
  workflow_set(
    preproc = list(rec = xgb_rec),
    models = list(boosting = xgb_spec)
    )

sim_ctrl <-
  control_sim_anneal(
    save_workflow = FALSE
    )


sim_results <-
  set |>
  workflow_map(
    fn = "tune_sim_anneal", 
    resamples = folds,
    iter = 2,
    control = sim_ctrl, 
    initial = 1
  )
#> ℹ The workflow being saved contains a recipe, which is 9.66 Mb in ℹ memory. If
#> this was not intentional, please set the control setting ℹ `save_workflow =
#> FALSE`.
#> Optimizing rmse
#> Initial best: 7.30250
#> ℹ The workflow being saved contains a recipe, which is 9.66 Mb in ℹ memory. If
#> this was not intentional, please set the control setting ℹ `save_workflow =
#> FALSE`.
#> 1 ◯ accept suboptimal  rmse=7.3391 (+/-0.2557)
#> ℹ The workflow being saved contains a recipe, which is 9.66 Mb in ℹ memory. If
#> this was not intentional, please set the control setting ℹ `save_workflow =
#> FALSE`.
#> 2 ◯ accept suboptimal  rmse=7.392 (+/-0.2306)

^{Created on 2025-03-10 with reprex v2.1.1}

Session info

sessioninfo::session_info()
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#>  language (EN)
#>  collate  en_US.UTF-8
#>  ctype    en_US.UTF-8
#>  tz       America/Los_Angeles
#>  date     2025-03-10
#>  pandoc   3.4 @ /usr/local/bin/ (via rmarkdown)
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