ml_binary_classification_eval

predicted_tbl_spark

Name of column string specifying which column contains the true, indexed labels (ie 0 / 1)

label

Name of column contains the scored probability of a success (ie 1)

score

The classification metric - one of: areaUnderRoc (default) or areaUnderPR

metric

See the Spark ML Documentation <a href="https://spark.apache.org/docs/1.6.1/api/scala/index.html#org.apache.spark.ml.evaluation.BinaryClassificationEvaluator">BinaryClassificationEvaluator</a>

Provision, connect and interface to Apache Spark from within R.
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.

Javier Luraschi

sparklyr

R Interface to Apache Spark

Kevin Ushey

JJ Allaire

 RStudio

 The Apache Software Foundation

ml_binary_classification_eval function

See the Spark ML Documentation <a href='https://spark.apache.org/docs/1.6.1/api/scala/index.html#org.apache.spark.ml.evaluation.BinaryClassificationEvaluator'>BinaryClassificationEvaluator</a>

ml_binary_classification_eval: Spark ML - Binary Classification Evaluator

Description

Usage

Arguments

Value