ml_call_constructor

Identifies the associated sparklyr ML constructor for the JVM object by inspecting its
 class and performing a lookup. The lookup table is specified by the
 `sparkml/class_mapping.json` files of sparklyr and the loaded extensions.

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

ml_call_constructor function

<dl><dt>jobj</dt>
<dd>The jobj for the pipeline stage.</dd></dl>

Arguments

Wrap a Spark ML JVM object — ml_call_constructor

<dl>

<dt>jobj</dt>
<dd>The jobj for the pipeline stage.</dd>

</dl>

Wrap a Spark ML JVM object

ml_call_constructor: Wrap a Spark ML JVM object

Description

Usage

Arguments