I'm wondering how to adjust the `tune_sim_anneal()`

defaults when using it with `workflow_map()`

, which requires the fn argument to be a character string (i.e. `fn = "tune_sim_anneal"`

? The documentation for `workflowsets`

indincates the fn argument needs to be a character, but doesn't say how to adjust the various parameters avialable here when providing it this way. As a specific example, if i want `iter = 20`

instead of the default, how would i do that in the code below?

reprex:

```
library(tidymodels)
library(finetune)
data(parabolic)
# prep
set.seed(1)
split <- initial_split(parabolic)
train_set <- training(split)
test_set <- testing(split)
set.seed(2)
train_resamples <- bootstraps(train_set, times = 5)
logistic_reg_spec <-
logistic_reg(penalty = tune(),
mixture = tune()) %>%
set_engine("glmnet")
mars_spec <-
mars(prod_degree = tune()) %>%
set_engine("earth") %>%
set_mode("classification")
workflow <-
workflow_set(
preproc = list("formula" = class ~ .),
models = list(lm = logistic_reg_spec,
mars = mars_spec)
)
# tune
sim_anneal_ctrl <-
control_sim_anneal(
save_pred = TRUE,
parallel_over = "everything",
save_workflow = TRUE,
restart = 5L,
verbose = FALSE
)
# if i want iter to be 20 instead of 10, how can i adjust that paramater?
# this doesnt work
tune_results <-
workflow %>%
workflow_map(
seed = 3566,
verbose = FALSE,
resamples = train_resamples,
control = sim_anneal_ctrl,
fn = "tune_sim_anneal(iter = 20)",
metrics = yardstick::metric_set(roc_auc, brier_class)
)
#> Error in `workflow_map()`:
#> ! `fn` must be one of "tune_grid", "tune_bayes", "fit_resamples",
#> "tune_race_anova", "tune_race_win_loss", "tune_sim_anneal", or
#> "tune_cluster", not "tune_sim_anneal(iter = 20)".
#> Backtrace:
#> ▆
#> 1. ├─workflow %>% ...
#> 2. ├─workflowsets::workflow_map(fn = "tune_sim_anneal(iter = 20)")
#> 3. │ └─rlang::arg_match(fn, allowed_fn$func)
#> 4. │ └─rlang::arg_match0(arg, values, error_arg, error_call = error_call)
#> 5. └─rlang:::stop_arg_match(w, values = x, error_arg = y, error_call = z)
#> 6. └─rlang::abort(msg, call = error_call, arg = error_arg)
# I can only get this to run using the defaults:
tune_results <-
workflow %>%
workflow_map(
seed = 3566,
verbose = FALSE,
resamples = train_resamples,
control = sim_anneal_ctrl,
fn = "tune_sim_anneal",
metrics = yardstick::metric_set(roc_auc, brier_class)
)
#> Optimizing roc_auc
#> Initial best: 0.77017
#> 1 ♥ new best roc_auc=0.77312 (+/-0.00873)
#> 2 ♥ new best roc_auc=0.77794 (+/-0.009105)
#> 3 ♥ new best roc_auc=0.77957 (+/-0.009913)
#> 4 ♥ new best roc_auc=0.78012 (+/-0.01008)
#> 5 ♥ new best roc_auc=0.78028 (+/-0.01004)
#> 6 ◯ accept suboptimal roc_auc=0.78023 (+/-0.01015)
#> 7 ◯ accept suboptimal roc_auc=0.78008 (+/-0.01011)
#> 8 ◯ accept suboptimal roc_auc=0.77982 (+/-0.01013)
#> 9 ◯ accept suboptimal roc_auc=0.77982 (+/-0.01013)
#> 10 ✖ restart from best roc_auc=0.77982 (+/-0.01013)
#> → A | warning: glm.fit: algorithm did not converge, glm.fit: fitted probabilities numerically 0 or 1 occurred, the glm algorithm did not converge for response "Class2"
#> There were issues with some computations A: x1 → B | warning: glm.fit: fitted probabilities numerically 0 or 1 occurred
#> There were issues with some computations A: x1There were issues with some computations A: x3 B: x1 Optimizing roc_auc
#> There were issues with some computations A: x3 B: x1 Initial best: 0.97306
#> There were issues with some computations A: x3 B: x1There were issues with some computations A: x4 B: x2There were issues with some computations A: x4 B: x3 1 ◯ accept suboptimal roc_auc=0.96882 (+/-0.003275)
#> There were issues with some computations A: x4 B: x3There were issues with some computations A: x5 B: x5There were issues with some computations A: x7 B: x6 2 + better suboptimal roc_auc=0.97306 (+/-0.003032)
#> There were issues with some computations A: x7 B: x6There were issues with some computations A: x8 B: x7There were issues with some computations A: x8 B: x8 3 ◯ accept suboptimal roc_auc=0.96882 (+/-0.003275)
#> There were issues with some computations A: x8 B: x8There were issues with some computations A: x9 B: x10There were issues with some computations A: x11 B: x11 4 + better suboptimal roc_auc=0.97306 (+/-0.003032)
#> There were issues with some computations A: x11 B: x11There were issues with some computations A: x12 B: x12There were issues with some computations A: x12 B: x13 5 ✖ restart from best roc_auc=0.96882 (+/-0.003275)
#> There were issues with some computations A: x12 B: x13There were issues with some computations A: x12 B: x16There were issues with some computations A: x12 B: x19 6 ◯ accept suboptimal roc_auc=0.96882 (+/-0.003275)
#> There were issues with some computations A: x12 B: x19There were issues with some computations A: x13 B: x19There were issues with some computations A: x15 B: x20 7 + better suboptimal roc_auc=0.97306 (+/-0.003032)
#> There were issues with some computations A: x15 B: x20There were issues with some computations A: x16 B: x21There were issues with some computations A: x16 B: x23 8 ◯ accept suboptimal roc_auc=0.96882 (+/-0.003275)
#> There were issues with some computations A: x16 B: x23There were issues with some computations A: x17 B: x24There were issues with some computations A: x20 B: x25 9 + better suboptimal roc_auc=0.97306 (+/-0.003032)
#> There were issues with some computations A: x20 B: x25There were issues with some computations A: x20 B: x26There were issues with some computations A: x20 B: x28 10 ✖ restart from best roc_auc=0.96882 (+/-0.003275)
#> There were issues with some computations A: x20 B: x28There were issues with some computations A: x20 B: x29
tune_results
#> # A workflow set/tibble: 2 × 4
#> wflow_id info option result
#> <chr> <list> <list> <list>
#> 1 formula_lm <tibble [1 × 4]> <opts[3]> <tune[+]>
#> 2 formula_mars <tibble [1 × 4]> <opts[3]> <tune[+]>
Created on 2023-08-30 with reprex v2.0.2
```