jobj_set_param

jobj

The name of the setter method as a string.

setter

value

The minimum required Spark version for this parameter to be valid.

min_version

The default value of the parameter, to be used together with `min_version`.
An error is thrown if the user's Spark version is older than `min_version` and `value`
differs from `default`.

default

Sets a parameter value for a pipeline stage object.

internal

R interface to Apache Spark, a fast and general engine for big data
processing, see <http://spark.apache.org>. This package supports connecting to
local and remote Apache Spark clusters, provides a 'dplyr' compatible back-end,
and provides an interface to Spark's built-in machine learning algorithms.

jobj_set_param: Parameter Setting for JVM Objects

Description

Usage

Arguments