Extract A Model Specification

Extract a model specification from a tidyAML model tibble.

Usage

extract_model_spec(.data, .model_id = NULL)

Arguments

.data

The model table that must have the class tidyaml_mod_spec_tbl.

.model_id

The model number that you want to select, Must be an integer or sequence of integers, ie. 1 or c(1,3,5) or 1:2

Value

A tibble with the chosen model specification(s).

Details

This function allows you to get a model specification or more from a tibble with a class of "tidyaml_mod_spec_tbl". It allows you to select the model by the .model_id column. You can call the model id's by an integer or a sequence of integers.

See also

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

Author

Steven P. Sanderson II, MPH

Examples

spec_tbl <- fast_regression_parsnip_spec_tbl(
  .parsnip_fns = "linear_reg",
  .parsnip_eng = c("lm","glm")
)

extract_model_spec(spec_tbl, 1)
#> [[1]]
#> Linear Regression Model Specification (regression)
#> 
#> Computational engine: lm 
#> 
#> 
extract_model_spec(spec_tbl, 1:2)
#> [[1]]
#> Linear Regression Model Specification (regression)
#> 
#> Computational engine: lm 
#> 
#> 
#> [[2]]
#> Linear Regression Model Specification (regression)
#> 
#> Computational engine: glm 
#> 
#>