ml_options
Options for Spark ML Routines
Provide this object to the various Spark ML methods, to control certain facets of the model outputs produced.
Usage
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
sparklyrAPIs.- 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.