Extract Tunable Parameters from Model Specifications

Extract a list of tunable parameters from the .model_spec column of a tidyaml_mod_spec_tbl.

Usage

extract_tunable_params(.model_tbl)

Arguments

.model_tbl

A model table with a class of tidyaml_mod_spec_tbl.

Value

A list of tibbles, each containing the tunable parameters for a model.

Details

This function iterates over the .model_spec column of a model table and extracts tunable parameters for each model using tunable(). The result is a list that can be further processed into a tibble if needed.

See also

Other Extractor: extract_model_spec(), extract_regression_residuals(), extract_wflw(), extract_wflw_fit(), extract_wflw_pred(), get_model()

Examples

library(dplyr)
mods <- fast_regression_parsnip_spec_tbl(
  .parsnip_fns = "linear_reg",
  .parsnip_eng = c("lm","glmnet")
  )
extract_tunable_params(mods)
#> [[1]]
#> # A tibble: 0 × 5
#> # ℹ 5 variables: name <chr>, call_info <list>, source <chr>, component <chr>,
#> #   component_id <chr>
#> 
#> [[2]]
#> # A tibble: 2 × 5
#>   name    call_info        source     component  component_id
#>   <chr>   <list>           <chr>      <chr>      <chr>       
#> 1 penalty <named list [2]> model_spec linear_reg main        
#> 2 mixture <named list [3]> model_spec linear_reg main        
#>