ml_options: Provide Options for Spark.ML Routines
Description
Provide Options for Spark.ML Routines
Usage
ml_options(id.column = random_string("id"), response.column = random_string("response"), features.column = random_string("features"), only.model = FALSE, ...)
Arguments
id.column
The name to assign to the generated id column.
response.column
The name to assign to the generated response column.
features.column
The name to assign to the generated features column.
only.model
Boolean; should the Spark model object itself be returned
without fitting the actual model? Useful for ml_one_vs_rest
. ...
Optional arguments, reserved for future expansion.