Generate Model Specification calls to parsnip — create_model

Creates a list/tibble of parsnip model specifications.

Usage

create_model_spec(
  .parsnip_eng = list("lm"),
  .mode = list("regression"),
  .parsnip_fns = list("linear_reg"),
  .return_tibble = TRUE
)

Arguments

.parsnip_eng: The input must be a list. The default for this is set to all. This means that all of the parsnip linear regression engines will be used, for example lm, or glm.
.mode: The input must be a list. The default is 'regression'
.parsnip_fns: The input must be a list. The default for this is set to all. This means that all of the parsnip linear regression functions will be used, for example linear_reg(), or cubist_rules.
.return_tibble: The default is TRUE. FALSE will return a list object.

Value

A list or a tibble.

Details

Creates a list/tibble of parsnip model specifications. With this function you can generate a list/tibble output of any model specification and engine you choose that is supported by the parsnip ecosystem.

Author

Steven P. Sanderson II, MPH

Examples

create_model_spec(
 .parsnip_eng = list("lm","glm","glmnet","cubist"),
 .parsnip_fns = list(
      "linear_reg","linear_reg","linear_reg",
      "cubist_rules"
     )
 )
#> # A tibble: 4 × 4
#>   .parsnip_engine .parsnip_mode .parsnip_fns .model_spec
#>   <chr>           <chr>         <chr>        <list>     
#> 1 lm              regression    linear_reg   <spec[+]>  
#> 2 glm             regression    linear_reg   <spec[+]>  
#> 3 glmnet          regression    linear_reg   <spec[+]>  
#> 4 cubist          regression    cubist_rules <spec[+]>  

create_model_spec(
 .parsnip_eng = list("lm","glm","glmnet","cubist"),
 .parsnip_fns = list(
      "linear_reg","linear_reg","linear_reg",
      "cubist_rules"
     ),
 .return_tibble = FALSE
 )
#> $.parsnip_engine
#> $.parsnip_engine[[1]]
#> [1] "lm"
#> 
#> $.parsnip_engine[[2]]
#> [1] "glm"
#> 
#> $.parsnip_engine[[3]]
#> [1] "glmnet"
#> 
#> $.parsnip_engine[[4]]
#> [1] "cubist"
#> 
#> 
#> $.parsnip_mode
#> $.parsnip_mode[[1]]
#> [1] "regression"
#> 
#> 
#> $.parsnip_fns
#> $.parsnip_fns[[1]]
#> [1] "linear_reg"
#> 
#> $.parsnip_fns[[2]]
#> [1] "linear_reg"
#> 
#> $.parsnip_fns[[3]]
#> [1] "linear_reg"
#> 
#> $.parsnip_fns[[4]]
#> [1] "cubist_rules"
#> 
#> 
#> $.model_spec
#> $.model_spec[[1]]
#> Linear Regression Model Specification (regression)
#> 
#> Computational engine: lm 
#> 
#> 
#> $.model_spec[[2]]
#> Linear Regression Model Specification (regression)
#> 
#> Computational engine: glm 
#> 
#> 
#> $.model_spec[[3]]
#> Linear Regression Model Specification (regression)
#> 
#> Computational engine: glmnet 
#> 
#> 
#> $.model_spec[[4]]
#> ! parsnip could not locate an implementation for `cubist_rules` regression
#>   model specifications using the `cubist` engine.
#> Cubist Model Specification (regression)
#> 
#> Computational engine: cubist 
#> 
#> 
#>

Generate Model Specification calls to `parsnip`