Provide Options for Spark.ML Routines

Usage

ml_options(id.column = random_string("id"), response.column = random_string("response"), features.column = random_string("features"), model.transform = NULL, 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.
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.
...
Optional arguments, reserved for future expansion.

Description

Provide Options for Spark.ML Routines