Returns information on potential hyper-parameters that can be optimized.
Arguments
- x
An object, such as a recipe, recipe step, workflow, or model specification.
- ...
Other arguments passed to methods
Value
A tibble with a column for the parameter name, information on the
default method for generating a corresponding parameter object, the
source of the parameter (e.g. "recipe", etc.), and the component within
the source. For the component column, a little more specificity is given
about the location of the parameter (e.g. "step_normalize" for recipes or
"boost_tree" for models). The component_id column contains the unique step
id field or, for models, a logical for whether the model specification
argument was a main parameter or one associated with the engine.
Details
For a model specification, an engine must be chosen.
If the object has no tunable parameters, a tibble with no rows is returned.
The information about the default parameter object takes the form of a
named list with an element for the function call and an optional element for
the source of the function (e.g. the dials package). For model
specifications, If the parameter is unknown to the underlying tunable
method, a NULL is returned.