ml_classification_eval
From sparklyr v0.3.9
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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