ml_options
From sparklyr v0.6.0
by Javier Luraschi
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"), 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
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.
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