ml_classification_eval
From sparklyr v0.5.5
by Javier Luraschi
Spark ML - Classification Evaluator
See the Spark ML Documentation MulticlassClassificationEvaluator
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
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