tests/testthat/_snaps/sa-overall.md
In tidymodels/finetune: Additional Functions for Model Tuning
formula interface
Code
set.seed(1)
res <- f_wflow %>% tune_sim_anneal(cell_folds, iter = 2, control = control_sim_anneal(
verbose = TRUE))
Message
> Generating a set of 1 initial parameter results
v Initialization complete
Optimizing roc_auc
Initial best: 0.82520
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1 ( ) accept suboptimal roc_auc=0.75661 (+/-0.006729)
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2 + better suboptimal roc_auc=0.79946 (+/-0.008393)
variable interface
Code
set.seed(1)
res <- var_wflow %>% tune_sim_anneal(cell_folds, iter = 2, control = control_sim_anneal(
verbose = TRUE, verbose_iter = TRUE))
Message
> Generating a set of 1 initial parameter results
v Initialization complete
Optimizing roc_auc
Initial best: 0.82520
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1 ( ) accept suboptimal roc_auc=0.75661 (+/-0.006729)
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2 + better suboptimal roc_auc=0.79946 (+/-0.008393)
Code
set.seed(1)
new_res <- var_wflow %>% tune_sim_anneal(cell_folds, iter = 2, initial = res,
control = control_sim_anneal(verbose = FALSE))
Message
There were 2 previous iterations
Optimizing roc_auc
2 v initial roc_auc=0.8252 (+/-0.005662)
3 <3 new best roc_auc=0.82851 (+/-0.004901)
4 <3 new best roc_auc=0.83405 (+/-0.004564)
Code
set.seed(1)
new_new_res <- var_wflow %>% tune_sim_anneal(cell_folds, iter = 2, initial = grid_res,
control = control_sim_anneal(verbose = FALSE))
Message
Optimizing roc_auc
Initial best: 0.83924
1 ( ) accept suboptimal roc_auc=0.83776 (+/-0.007509)
2 <3 new best roc_auc=0.84 (+/-0.00542)
unfinalized parameters
Code
set.seed(40)
rf_res_finetune <- wf_rf %>% tune_sim_anneal(resamples = bt, initial = rf_res)
Message
i Creating pre-processing data to finalize unknown parameter: mtry
Optimizing roc_auc
Initial best: 0.84856
1 ( ) accept suboptimal roc_auc=0.84375 (+/-0.007727)
2 <3 new best roc_auc=0.84943 (+/-0.007036)
3 ( ) accept suboptimal roc_auc=0.84371 (+/-0.007903)
4 + better suboptimal roc_auc=0.84825 (+/-0.008036)
5 ( ) accept suboptimal roc_auc=0.84479 (+/-0.00814)
6 + better suboptimal roc_auc=0.84816 (+/-0.007283)
7 ( ) accept suboptimal roc_auc=0.84381 (+/-0.007999)
8 <3 new best roc_auc=0.85014 (+/-0.007172)
9 ( ) accept suboptimal roc_auc=0.84344 (+/-0.007818)
10 + better suboptimal roc_auc=0.84802 (+/-0.007281)
Code
set.seed(40)
rf_res_finetune <- wf_rf %>% tune_sim_anneal(resamples = bt)
Message
i Creating pre-processing data to finalize unknown parameter: mtry
Optimizing roc_auc
Initial best: 0.84829
1 ( ) accept suboptimal roc_auc=0.84326 (+/-0.007765)
2 <3 new best roc_auc=0.84843 (+/-0.007903)
3 ( ) accept suboptimal roc_auc=0.84438 (+/-0.007904)
4 <3 new best roc_auc=0.84881 (+/-0.007951)
5 ( ) accept suboptimal roc_auc=0.84404 (+/-0.007787)
6 <3 new best roc_auc=0.84912 (+/-0.007272)
7 ( ) accept suboptimal roc_auc=0.84333 (+/-0.007685)
8 + better suboptimal roc_auc=0.84867 (+/-0.007152)
9 - discard suboptimal roc_auc=0.84525 (+/-0.007793)
10 ( ) accept suboptimal roc_auc=0.84383 (+/-0.00773)
incompatible parameter objects
Code
res <- tune_sim_anneal(car_wflow, param_info = parameter_set_with_smaller_range,
resamples = car_folds, initial = tune_res_with_bigger_range, iter = 2)
Message
Optimizing rmse
Condition
Error in `tune_sim_anneal()`:
! The range for parameter mtry used when generating initial results isn't compatible with the range supplied in `param_info`.
i Possible values of parameters in `param_info` should encompass all values evaluated in the initial grid.
Message
x Optimization stopped prematurely; returning current results.
tidymodels/finetune documentation built on March 23, 2024, 6:50 p.m.
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formula interface
Code
set.seed(1)
res <- f_wflow %>% tune_sim_anneal(cell_folds, iter = 2, control = control_sim_anneal(
verbose = TRUE))
Message
> Generating a set of 1 initial parameter results
v Initialization complete
Optimizing roc_auc
Initial best: 0.82520
i Fold1, Repeat1: preprocessor 1/1
v Fold1, Repeat1: preprocessor 1/1
i Fold1, Repeat1: preprocessor 1/1, model 1/1
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1 ( ) accept suboptimal roc_auc=0.75661 (+/-0.006729)
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i Fold3, Repeat2: preprocessor 1/1, model 1/1 (predictions)
2 + better suboptimal roc_auc=0.79946 (+/-0.008393)
variable interface
Code
set.seed(1)
res <- var_wflow %>% tune_sim_anneal(cell_folds, iter = 2, control = control_sim_anneal(
verbose = TRUE, verbose_iter = TRUE))
Message
> Generating a set of 1 initial parameter results
v Initialization complete
Optimizing roc_auc
Initial best: 0.82520
i Fold1, Repeat1: preprocessor 1/1
v Fold1, Repeat1: preprocessor 1/1
i Fold1, Repeat1: preprocessor 1/1, model 1/1
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1 ( ) accept suboptimal roc_auc=0.75661 (+/-0.006729)
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i Fold3, Repeat2: preprocessor 1/1, model 1/1 (predictions)
2 + better suboptimal roc_auc=0.79946 (+/-0.008393)
Code
set.seed(1)
new_res <- var_wflow %>% tune_sim_anneal(cell_folds, iter = 2, initial = res,
control = control_sim_anneal(verbose = FALSE))
Message
There were 2 previous iterations
Optimizing roc_auc
2 v initial roc_auc=0.8252 (+/-0.005662)
3 <3 new best roc_auc=0.82851 (+/-0.004901)
4 <3 new best roc_auc=0.83405 (+/-0.004564)
Code
set.seed(1)
new_new_res <- var_wflow %>% tune_sim_anneal(cell_folds, iter = 2, initial = grid_res,
control = control_sim_anneal(verbose = FALSE))
Message
Optimizing roc_auc
Initial best: 0.83924
1 ( ) accept suboptimal roc_auc=0.83776 (+/-0.007509)
2 <3 new best roc_auc=0.84 (+/-0.00542)
unfinalized parameters
Code
set.seed(40)
rf_res_finetune <- wf_rf %>% tune_sim_anneal(resamples = bt, initial = rf_res)
Message
i Creating pre-processing data to finalize unknown parameter: mtry
Optimizing roc_auc
Initial best: 0.84856
1 ( ) accept suboptimal roc_auc=0.84375 (+/-0.007727)
2 <3 new best roc_auc=0.84943 (+/-0.007036)
3 ( ) accept suboptimal roc_auc=0.84371 (+/-0.007903)
4 + better suboptimal roc_auc=0.84825 (+/-0.008036)
5 ( ) accept suboptimal roc_auc=0.84479 (+/-0.00814)
6 + better suboptimal roc_auc=0.84816 (+/-0.007283)
7 ( ) accept suboptimal roc_auc=0.84381 (+/-0.007999)
8 <3 new best roc_auc=0.85014 (+/-0.007172)
9 ( ) accept suboptimal roc_auc=0.84344 (+/-0.007818)
10 + better suboptimal roc_auc=0.84802 (+/-0.007281)
Code
set.seed(40)
rf_res_finetune <- wf_rf %>% tune_sim_anneal(resamples = bt)
Message
i Creating pre-processing data to finalize unknown parameter: mtry
Optimizing roc_auc
Initial best: 0.84829
1 ( ) accept suboptimal roc_auc=0.84326 (+/-0.007765)
2 <3 new best roc_auc=0.84843 (+/-0.007903)
3 ( ) accept suboptimal roc_auc=0.84438 (+/-0.007904)
4 <3 new best roc_auc=0.84881 (+/-0.007951)
5 ( ) accept suboptimal roc_auc=0.84404 (+/-0.007787)
6 <3 new best roc_auc=0.84912 (+/-0.007272)
7 ( ) accept suboptimal roc_auc=0.84333 (+/-0.007685)
8 + better suboptimal roc_auc=0.84867 (+/-0.007152)
9 - discard suboptimal roc_auc=0.84525 (+/-0.007793)
10 ( ) accept suboptimal roc_auc=0.84383 (+/-0.00773)
incompatible parameter objects
Code
res <- tune_sim_anneal(car_wflow, param_info = parameter_set_with_smaller_range,
resamples = car_folds, initial = tune_res_with_bigger_range, iter = 2)
Message
Optimizing rmse
Condition
Error in `tune_sim_anneal()`:
! The range for parameter mtry used when generating initial results isn't compatible with the range supplied in `param_info`.
i Possible values of parameters in `param_info` should encompass all values evaluated in the initial grid.
Message
x Optimization stopped prematurely; returning current results.
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