null_model {parsnip} | R Documentation |
Null model
Description
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 |
engine |
A single character string specifying what computational engine
to use for fitting. Possible engines are listed below. The default for this
model is |
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
Examples
null_model(mode = "regression")
[Package parsnip version 1.3.2 Index]