jobj_set_param

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 <https://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.

Edgar Ruiz

sparklyr

R Interface to Apache Spark

Javier Luraschi

Kevin Kuo

Kevin Ushey

JJ Allaire

Samuel Macedo

Hossein Falaki

Lu Wang

Andy Zhang

Yitao Li

Jozef Hajnala

Maciej Szymkiewicz

Wil Davis

 RStudio

 The Apache Software Foundation

jobj_set_param function

<dl><dt>jobj</dt>
<dd>A pipeline stage jobj.</dd>
<dt>setter</dt>
<dd>The name of the setter method as a string.</dd>
<dt>value</dt>
<dd>The value to be set.</dd>
<dt>min_version</dt>
<dd>The minimum required Spark version for this parameter to be valid.</dd>
<dt>default</dt>
<dd>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`.</dd></dl>

Arguments

Parameter Setting for JVM Objects — jobj_set_param

<dl>

<dt>jobj</dt>
<dd>A pipeline stage jobj.</dd>


<dt>setter</dt>
<dd>The name of the setter method as a string.</dd>


<dt>value</dt>
<dd>The value to be set.</dd>


<dt>min_version</dt>
<dd>The minimum required Spark version for this parameter to be valid.</dd>


<dt>default</dt>
<dd>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`.</dd>

</dl>

Parameter Setting for JVM Objects

jobj_set_param: Parameter Setting for JVM Objects

Description

Usage

Arguments