`set_engine()`

is used to specify which package or system will be used
to fit the model, along with any arguments specific to that software.

set_engine(object, engine, ...)

object | A model specification. |
---|---|

engine | A character string for the software that should be used to fit the model. This is highly dependent on the type of model (e.g. linear regression, random forest, etc.). |

... | Any optional arguments associated with the chosen computational
engine. These are captured as quosures and can be |

An updated model specification.

# First, set general arguments using the standardized names mod <- logistic_reg(mixture = 1/3) %>% # now say how you want to fit the model and another other options set_engine("glmnet", nlambda = 10) translate(mod, engine = "glmnet")#> Logistic Regression Model Specification (classification) #> #> Main Arguments: #> mixture = 1/3 #> #> Engine-Specific Arguments: #> nlambda = 10 #> #> Computational engine: glmnet #> #> Model fit template: #> glmnet::glmnet(x = missing_arg(), y = missing_arg(), weights = missing_arg(), #> alpha = 1/3, nlambda = 10, family = "binomial")