Null model

null_model() defines a simple, non-informative model. It doesn't have any main arguments. This function can fit classification and regression models.

Usage

null_model(mode = "classification", engine = "parsnip")

Arguments

mode

A single character string for the type of model. The only possible values for this model are "regression" and "classification".

engine

A single character string specifying what computational engine to use for fitting. Possible engines are listed below. The default for this model is "parsnip".

Engine Details

Engines may have pre-set default arguments when executing the model fit call. For this type of model, the template of the fit calls are below:

parsnip

null_model() %>%
  set_engine("parsnip") %>%
  set_mode("regression") %>%
  translate()

## Null Model Specification (regression)
##
## Computational engine: parsnip
##
## Model fit template:
## parsnip::nullmodel(x = missing_arg(), y = missing_arg())

null_model() %>%
  set_engine("parsnip") %>%
  set_mode("classification") %>%
  translate()

## Null Model Specification (classification)
##
## Computational engine: parsnip
##
## Model fit template:
## parsnip::nullmodel(x = missing_arg(), y = missing_arg())

See also

fit.model_spec()

Examples

null_model(mode = "regression")
#> Null Model Specification (regression)
#> 
#> Computational engine: parsnip 
#>