ml_classification_eval

A tbl_spark object that contains a columns with predicted labels

predicted_tbl_spark

Name of the column that contains the true, indexed label. Support for binary and multi-class labels, column should be of double type (use as.double)

label

Name of the column that contains the predicted label NOT the scored probability. Support for binary and multi-class labels, column should be of double type (use as.double)

predicted_lbl

A classification metric, one of: f1 (default), precision, recall, weightedPrecision, weightedRecall, accuracy

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.MulticlassClassificationEvaluator">MulticlassClassificationEvaluator</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

ml_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.MulticlassClassificationEvaluator'>MulticlassClassificationEvaluator</a>


ml_classification_eval: Spark ML - Classification Evaluator

Description

Usage

Arguments

Value