parsnip (version 1.1.0)

null_model: 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")

Arguments

mode

A single character string for the prediction outcome mode. Possible values for this model are "unknown", "regression", or "classification".

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())

Details

The model can be created using the fit() function using the following engines:

• R: "parsnip"

See Also

fit.model_spec()

Examples

null_model(mode = "regression")