srowen commented on a change in pull request #26135: [SPARK-29489][ML][PySpark]
ml.evaluation support log-loss
URL: https://github.com/apache/spark/pull/26135#discussion_r335586015
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File path:
mllib/src/main/scala/org/apache/spark/mllib/evaluation/MulticlassMetrics.scala
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@@ -237,4 +239,38 @@ class MulticlassMetrics @Since("1.1.0")
(predictionAndLabels: RDD[_ <: Product])
*/
@Since("1.1.0")
lazy val labels: Array[Double] = tpByClass.keys.toArray.sorted
+
+ /**
+ * Returns the logLoss, aka logistic loss or cross-entropy loss.
Review comment:
You could just use a `@return` tag
Also log-loss rather than logLoss
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