Provide this object to the various Spark ML methods, to control certain facets of the model outputs produced.

ml_options(id.column = random_string("id"),
  response.column = random_string("response"),
  features.column = random_string("features"), model.transform = NULL,
  only.model = FALSE, na.action = getOption("na.action", "na.omit"), ...)

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.
model.transform
An optional R function that accepts a Spark model and returns a Spark model. This can be used to supply optional Spark model fitting parameters not made available in the sparklyr APIs.
only.model
Boolean; should the Spark model object itself be returned without fitting the actual model? Useful for ml_one_vs_rest.
na.action
An R function, or the name of an R function, indicating how missing values should be handled.
...
Optional arguments, reserved for future expansion.