save_workflow = FALSE not removing warning about the workflow being saved with tune_sim_anneal #122
Description
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()
#> ─ Session info ───────────────────────────────────────────────────────────────
#> setting value
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#> os macOS Sequoia 15.3.1
#> system aarch64, darwin20
#> ui X11
#> language (EN)
#> collate en_US.UTF-8
#> ctype en_US.UTF-8
#> tz America/Los_Angeles
#> date 2025-03-10
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