Make a Model Spec tibble.
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()
#> Error in map2(.x, vec_index(.x), .f, ...): ℹ In index: 10.
#> Caused by error:
#> ! Could not find model builder function 'klar_classification_discrim_regularized' for engine='klaR', mode='classification', parsnip_function='discrim_regularized'.
#> Original error: object 'klar_classification_discrim_regularized' of mode 'function' was not found
