ml_stage

ml_stages

Extraction of stages from a Pipeline or PipelineModel object.

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_stage function

<dl><dt>x</dt>
<dd>A <code>ml_pipeline</code> or a <code>ml_pipeline_model</code> object</dd>
<dt>stage</dt>
<dd>The UID of a stage in the pipeline.</dd>
<dt>stages</dt>
<dd>The UIDs of stages in the pipeline as a character vector.</dd></dl>

Arguments

Spark ML -- Pipeline stage extraction — ml_stage

<dl>

<dt>x</dt>
<dd>A <code>ml_pipeline</code> or a <code>ml_pipeline_model</code> object</dd>


<dt>stage</dt>
<dd>The UID of a stage in the pipeline.</dd>


<dt>stages</dt>
<dd>The UIDs of stages in the pipeline as a character vector.</dd>

</dl>

Spark ML -- Pipeline stage extraction

ml_stage: Spark ML -- Pipeline stage extraction

Description

Usage

Value

Arguments