select_best.md
In tune: Tidy Tuning Tools

select_best()

Code
  select_best(rcv_results, metric = "rsq", maximize = TRUE)
Condition
  Warning:
  The `maximize` argument is no longer needed. This value was ignored.
Output
  # A tibble: 1 x 5
    deg_free degree `wt df` `wt degree` .config 
       <int>  <int>   <int>       <int> <chr>   
  1       10      2       2           2 Recipe24

Code
  select_best(rcv_results, metric = "random")
Condition
  Error in `get_metric_direction()`:
  ! Please check the value of `metric`.

Code
  select_best(rcv_results, metric = c("rmse", "rsq"))
Condition
  Error in `get_metric_direction()`:
  ! Please specify a single character value for `metric`.

Code
  best_default_metric <- select_best(rcv_results)
Condition
  Warning:
  No value of `metric` was given; metric 'rmse' will be used.
Code
  best_rmse <- select_best(rcv_results, metric = "rmse")

Code
  select_best(mtcars, metric = "disp")
Condition
  Error in `select_best()`:
  ! No `select_best()` exists for this type of object.

show_best()

Code
  best_default_metric <- show_best(rcv_results)
Condition
  Warning:
  No value of `metric` was given; metric 'rmse' will be used.
Code
  best_rmse <- show_best(rcv_results, metric = "rmse")

Code
  show_best(mtcars, metric = "disp")
Condition
  Error in `show_best()`:
  ! No `show_best()` exists for this type of object.

one-std error rule

Code
  select_by_one_std_err(knn_results, metric = "accuracy", K, maximize = TRUE)
Condition
  Warning:
  The `maximize` argument is no longer needed. This value was ignored.
Output
  # A tibble: 1 x 11
        K weight_func exponent .metric  .estimator  mean     n std_err .config .best .bound
    <int> <chr>          <dbl> <chr>    <chr>      <dbl> <int>   <dbl> <chr>   <dbl>  <dbl>
  1    25 rank            1.99 accuracy binary     0.819    50 0.00517 Model06 0.819  0.814

Code
  select_by_one_std_err(rcv_results, metric = "random", deg_free)
Condition
  Error in `get_metric_direction()`:
  ! Please check the value of `metric`.

Code
  select_by_one_std_err(rcv_results, metric = c("rmse", "rsq"), deg_free)
Condition
  Error in `get_metric_direction()`:
  ! Please specify a single character value for `metric`.

Code
  select_via_default_metric <- select_by_one_std_err(knn_results, K)
Condition
  Warning:
  No value of `metric` was given; metric 'roc_auc' will be used.
Code
  select_via_roc <- select_by_one_std_err(knn_results, K, metric = "roc_auc")

Code
  select_by_one_std_err(rcv_results, metric = "random")
Condition
  Error in `select_by_one_std_err()`:
  ! Please choose at least one tuning parameter to sort in `...`.

Code
  select_by_one_std_err(mtcars, metric = "disp")
Condition
  Error in `select_by_one_std_err()`:
  ! No `select_by_one_std_err()` exists for this type of object.

Code
  select_by_one_std_err(knn_results, metric = "roc_auc", weight_funk)
Condition
  Error in `select_by_one_std_err()`:
  ! Could not sort results by `weight_funk`.

Code
  select_by_one_std_err(knn_results, metric = "roc_auc", weight_funk, K)
Condition
  Error in `select_by_one_std_err()`:
  ! Could not sort results by `weight_funk`.

Code
  select_by_one_std_err(knn_results, metric = "roc_auc", weight_funk, Kay)
Condition
  Error in `select_by_one_std_err()`:
  ! Could not sort results by `weight_funk` and `Kay`.

Code
  select_by_one_std_err(knn_results, metric = "roc_auc", weight_funk, desc(K))
Condition
  Error in `select_by_one_std_err()`:
  ! Could not sort results by `weight_funk` and `desc(K)`.

percent loss

Code
  select_by_pct_loss(knn_results, metric = "accuracy", K, maximize = TRUE)
Condition
  Warning:
  The `maximize` argument is no longer needed. This value was ignored.
Output
  # A tibble: 1 x 11
        K weight_func  exponent .metric  .estimator  mean     n std_err .config .best .loss
    <int> <chr>           <dbl> <chr>    <chr>      <dbl> <int>   <dbl> <chr>   <dbl> <dbl>
  1    12 epanechnikov     1.96 accuracy binary     0.806    50 0.00569 Model02 0.819  1.64

Code
  select_by_pct_loss(rcv_results, metric = "random", deg_free)
Condition
  Error in `get_metric_direction()`:
  ! Please check the value of `metric`.

Code
  select_by_pct_loss(rcv_results, metric = c("rmse", "rsq"), deg_free)
Condition
  Error in `get_metric_direction()`:
  ! Please specify a single character value for `metric`.

Code
  select_via_default_metric <- select_by_pct_loss(knn_results, K)
Condition
  Warning:
  No value of `metric` was given; metric 'roc_auc' will be used.
Code
  select_via_roc <- select_by_pct_loss(knn_results, K, metric = "roc_auc")

Code
  select_by_pct_loss(rcv_results, metric = "random")
Condition
  Error in `select_by_pct_loss()`:
  ! Please choose at least one tuning parameter to sort in `...`.

Code
  select_by_pct_loss(mtcars, metric = "disp")
Condition
  Error in `select_by_pct_loss()`:
  ! No `select_by_pct_loss()` exists for this type of object.

Code
  select_by_pct_loss(knn_results, metric = "roc_auc", weight_funk)
Condition
  Error in `select_by_pct_loss()`:
  ! Could not sort results by `weight_funk`.

Code
  select_by_pct_loss(knn_results, metric = "roc_auc", weight_funk, K)
Condition
  Error in `select_by_pct_loss()`:
  ! Could not sort results by `weight_funk`.

Code
  select_by_pct_loss(knn_results, metric = "roc_auc", weight_funk, Kay)
Condition
  Error in `select_by_pct_loss()`:
  ! Could not sort results by `weight_funk` and `Kay`.

Code
  select_by_pct_loss(knn_results, metric = "roc_auc", weight_funk, desc(K))
Condition
  Error in `select_by_pct_loss()`:
  ! Could not sort results by `weight_funk` and `desc(K)`.