ml_summary

Extracts a metric from the summary object of a Spark ML model.

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_summary function

<dl><dt>x</dt>
<dd>A Spark ML model that has a summary.</dd>
<dt>metric</dt>
<dd>The name of the metric to extract. If not set, returns the summary object.</dd>
<dt>allow_null</dt>
<dd>Whether null results are allowed when the metric is not found in the summary.</dd></dl>

Arguments

Spark ML -- Extraction of summary metrics — ml_summary

<dl>

<dt>x</dt>
<dd>A Spark ML model that has a summary.</dd>


<dt>metric</dt>
<dd>The name of the metric to extract. If not set, returns the summary object.</dd>


<dt>allow_null</dt>
<dd>Whether null results are allowed when the metric is not found in the summary.</dd>

</dl>

Spark ML -- Extraction of summary metrics

ml_summary: Spark ML -- Extraction of summary metrics

Description

Usage

Arguments