get params — get_params • autostats

s3 method to extract params of a model with names consistent for use in the `autostats` package

get_params(model, ...)

# S3 method for xgb.Booster
get_params(model, ...)

# S3 method for workflow
get_params(model, ...)

Arguments

model: a model
...: additional arguments

Value

list of params

Examples


iris %>%
  framecleaner::create_dummies() -> iris_dummies
#> 1 column(s) have become 3 dummy columns

iris_dummies %>%
  tidy_formula(target = Petal.Length) -> p_form

iris_dummies %>%
  tidy_xgboost(p_form, mtry = .5, trees = 5L, loss_reduction = 2, sample_size = .7) -> xgb
#> Warning: `early_stop` was reduced to 4.
#> Warning: `early_stop` was reduced to 4.
#> accuracy tested on a validation set
#> # A tibble: 3 × 2
#>   .metric .estimate
#>   <chr>       <dbl>
#> 1 ccc         0.119
#> 2 rmse        2.95 
#> 3 rsq         0.908


## reuse these parameters to find the cross validated error

rlang::exec(auto_model_accuracy, data = iris_dummies, formula = p_form, !!!get_params(xgb))
#> → A | warning: `early_stop` was reduced to 4.
#> There were issues with some computations   A: x1
#> There were issues with some computations   A: x4
#> 
4 - fold  cross-validated accuracy for regression model of Petal.Length on dataset auto_model_accuracy
model metric mean_score std_err
xgboost rmse 2.889 0.1386
rsq 0.938 0.0145

4 - fold cross-validated accuracy for regression model of Petal.Length on dataset auto_model_accuracy
model	metric	mean_score	std_err
xgboost	rmse	2.889	0.1386
xgboost	rsq	0.938	0.0145