Options for Spark ML Routines

Arguments

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"),
  output.column = random_string("output"), 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.
output.column	The name to assign to the generated output 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.