Utility Classification call to parsnip

Creates a tibble of parsnip classification model specifications.

Usage

fast_classification_parsnip_spec_tbl(
  .parsnip_fns = "all",
  .parsnip_eng = "all"
)

Arguments

.parsnip_fns

The default for this is set to all. This means that all of the parsnip classification functions will be used, for example bag_mars(), or bart(). You can also choose to pass a c() vector like c("barg_mars","bart")

.parsnip_eng

The default for this is set to all. This means that all of the parsnip classification engines will be used, for example earth, or dbarts. You can also choose to pass a c() vector like c('earth', 'dbarts')

Value

A tibble with an added class of 'fst_class_spec_tbl'

Details

Creates a tibble of parsnip classification model specifications. This will create a tibble of 32 different classification model specifications which can be filtered. The model specs are created first and then filtered out. This will only create models for classification problems. To find all of the supported models in this package you can visit https://www.tidymodels.org/find/parsnip/

See also

Other Utility: core_packages(), create_splits(), create_workflow_set(), fast_regression_parsnip_spec_tbl(), full_internal_make_wflw(), install_deps(), load_deps(), match_args()

Author

Steven P. Sanderson II, MPH

Examples

fast_classification_parsnip_spec_tbl(.parsnip_fns = "logistic_reg")
#> # A tibble: 6 × 5
#>   .model_id .parsnip_engine .parsnip_mode  .parsnip_fns model_spec
#>       <int> <chr>           <chr>          <chr>        <list>    
#> 1         1 brulee          classification logistic_reg <spec[+]> 
#> 2         2 gee             classification logistic_reg <spec[+]> 
#> 3         3 glm             classification logistic_reg <spec[+]> 
#> 4         4 glmer           classification logistic_reg <spec[+]> 
#> 5         5 glmnet          classification logistic_reg <spec[+]> 
#> 6         6 LiblineaR       classification logistic_reg <spec[+]> 
fast_classification_parsnip_spec_tbl(.parsnip_eng = c("earth","dbarts"))
#> # A tibble: 4 × 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 earth           classification mars             <spec[+]>