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[SPARK-31768][ML] add getMetrics in Evaluators #28590

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[SPARK-31768][ML] add getMetrics in Evaluators #28590

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26 changes: 19 additions & 7 deletions mllib/src/main/scala/org/apache/spark/ml/evaluation/BinaryClassificationEvaluator.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -98,6 +98,24 @@ class BinaryClassificationEvaluator @Since("1.4.0") (@Since("1.4.0") override va

@Since("2.0.0")
override def evaluate(dataset: Dataset[_]): Double = {
val metrics = getMetrics(dataset)
val metric = $(metricName) match {
case "areaUnderROC" => metrics.areaUnderROC()
case "areaUnderPR" => metrics.areaUnderPR()
}
metrics.unpersist()
metric
}

/**
* Get a BinaryClassificationMetrics, which can be used to get binary classification
* metrics such as areaUnderROC and areaUnderPR.
*
* @param dataset a dataset that contains labels/observations and predictions.
* @return BinaryClassificationMetrics
*/
@Since("3.1.0")
def getMetrics(dataset: Dataset[_]): BinaryClassificationMetrics = {
val schema = dataset.schema
SchemaUtils.checkColumnTypes(schema, $(rawPredictionCol), Seq(DoubleType, new VectorUDT))
SchemaUtils.checkNumericType(schema, $(labelCol))
Expand All @@ -119,13 +137,7 @@ class BinaryClassificationEvaluator @Since("1.4.0") (@Since("1.4.0") override va
case Row(rawPrediction: Double, label: Double, weight: Double) =>
(rawPrediction, label, weight)
}
val metrics = new BinaryClassificationMetrics(scoreAndLabelsWithWeights, $(numBins))
val metric = $(metricName) match {
case "areaUnderROC" => metrics.areaUnderROC()
case "areaUnderPR" => metrics.areaUnderPR()
}
metrics.unpersist()
metric
new BinaryClassificationMetrics(scoreAndLabelsWithWeights, $(numBins))
}

@Since("1.5.0")
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