ml_pipeline

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_pipeline function

<dl><dt>x</dt>
<dd>Either a <code>spark_connection</code> or <code>ml_pipeline_stage</code> objects</dd>
<dt>...</dt>
<dd><code>ml_pipeline_stage</code> objects.</dd>
<dt>uid</dt>
<dd>A character string used to uniquely identify the ML estimator.</dd></dl>

Arguments

Spark ML -- Pipelines — ml_pipeline

<dl>

<dt>x</dt>
<dd>Either a <code>spark_connection</code> or <code>ml_pipeline_stage</code> objects</dd>


<dt>...</dt>
<dd><code>ml_pipeline_stage</code> objects.</dd>


<dt>uid</dt>
<dd>A character string used to uniquely identify the ML estimator.</dd>

</dl>

Spark ML -- Pipelines

ml_pipeline: Spark ML -- Pipelines

Description

Usage

Value

Arguments