translate() will translate a model specification into a code
object that is specific to a particular engine (e.g. R package).
It translates generic parameters to their counterparts.
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A model specification.
Not currently used.
The computational engine for the model (see
translate() produces a template call that lacks the specific
argument values (such as
data, etc). These are filled in once
fit() is called with the specifics of the data for the model.
The call may also include
varying arguments if these are in
It does contain the resolved argument names that are specific to the model fitting function/engine.
This function can be useful when you need to understand how
parsnip goes from a generic model specific to a model fitting
Note: this function is used internally and users should only use it to understand what the underlying syntax would be. It should not be used to modify the model specification.
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lm_spec <- linear_reg(penalty = 0.01) # `penalty` is tranlsated to `lambda` translate(lm_spec, engine = "glmnet") # `penalty` not applicable for this model. translate(lm_spec, engine = "lm") # `penalty` is tranlsated to `reg_param` translate(lm_spec, engine = "spark") # with a placeholder for an unknown argument value: translate(linear_reg(penalty = varying(), mixture = varying()), engine = "glmnet")
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