ml_options

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Provide Options for Spark.ML Routines

Provide Options for Spark.ML Routines

Usage
ml_options(id.column = random_string("id"), response.column = random_string("response"), features.column = random_string("features"), 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.
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.
Aliases
  • ml_options
Documentation reproduced from package sparklyr, version 0.3.10, License: file LICENSE

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