ml_binary_classification_eval

From sparklyr v0.4 by Javier Luraschi

Spark ML - Binary Classification Evaluator

See the Spark ML Documentation BinaryClassificationEvaluator

Usage

ml_binary_classification_eval(predicted_tbl_spark, label, score,
  metric = "areaUnderROC")

Arguments

predicted_tbl_spark: The result of running sdf_predict
label: Name of column string specifying which column contains the true, indexed labels (ie 0 / 1)
score: Name of column contains the scored probability of a success (ie 1)
metric: The classification metric - one of: areaUnderRoc (default) or areaUnderPR

Value

area under the specified curve

Documentation reproduced from package sparklyr, version 0.4, License: Apache License 2.0 | file LICENSE

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