Spark ML - Classification Evaluator

Usage

ml_classification_eval(predicted_tbl_spark, label, predicted_lbl, metric = "f1")

Arguments

predicted_tbl_spark
A tbl_spark object that contains a columns with predicted labels
label
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)
predicted_lbl
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)
metric
A classification metric, one of: f1 (default), precision, recall, weightedPrecision, weightedRecall, accuracy

Value

see metric

Description

See the Spark ML Documentation MulticlassClassificationEvaluator