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Internals Make a Model Spec tibble

Source: R/internals-make-spec-tbl.R
internal_make_spec_tbl.Rd

Make a Model Spec tibble.

Usage

internal_make_spec_tbl(.model_tbl)

Arguments

.model_tbl

This is the data that should be coming from inside of the regression/classification to parsnip spec functions.

Value

A model spec tbl.

Details

Make a Model Spec tibble.

See also

Other Internals: internal_make_fitted_wflw(), internal_make_wflw(), internal_make_wflw_gee_lin_reg(), internal_make_wflw_predictions(), internal_set_args_to_tune(), make_classification_base_tbl(), make_regression_base_tbl()

Author

Steven P. Sanderson II, MPH

Examples

make_regression_base_tbl() |>
  internal_make_spec_tbl()
#> # A tibble: 39 × 5
#>    .model_id .parsnip_engine .parsnip_mode .parsnip_fns model_spec
#>        <int> <chr>           <chr>         <chr>        <list>    
#>  1         1 lm              regression    linear_reg   <spec[+]> 
#>  2         2 brulee          regression    linear_reg   <spec[+]> 
#>  3         3 gee             regression    linear_reg   <spec[+]> 
#>  4         4 glm             regression    linear_reg   <spec[+]> 
#>  5         5 glmer           regression    linear_reg   <spec[+]> 
#>  6         6 glmnet          regression    linear_reg   <spec[+]> 
#>  7         7 gls             regression    linear_reg   <spec[+]> 
#>  8         8 lme             regression    linear_reg   <spec[+]> 
#>  9         9 lmer            regression    linear_reg   <spec[+]> 
#> 10        10 stan            regression    linear_reg   <spec[+]> 
#> # ℹ 29 more rows

make_classification_base_tbl() |>
  internal_make_spec_tbl()
#> # A tibble: 31 × 5
#>    .model_id .parsnip_engine .parsnip_mode  .parsnip_fns        model_spec
#>        <int> <chr>           <chr>          <chr>               <list>    
#>  1         1 earth           classification bag_mars            <spec[+]> 
#>  2         2 earth           classification discrim_flexible    <spec[+]> 
#>  3         3 dbarts          classification bart                <spec[+]> 
#>  4         4 MASS            classification discrim_linear      <spec[+]> 
#>  5         5 mda             classification discrim_linear      <spec[+]> 
#>  6         6 sda             classification discrim_linear      <spec[+]> 
#>  7         7 sparsediscrim   classification discrim_linear      <spec[+]> 
#>  8         8 MASS            classification discrim_quad        <spec[+]> 
#>  9         9 sparsediscrim   classification discrim_quad        <spec[+]> 
#> 10        10 klaR            classification discrim_regularized <spec[+]> 
#> # ℹ 21 more rows