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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2019/10/16 08:00:13 UTC

[GitHub] [spark] zhengruifeng commented on a change in pull request #26135: [SPARK-29489][ML][PySpark] ml.evaluation support log-loss

zhengruifeng 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_r335327837
 
 

 ##########
 File path: mllib/src/main/scala/org/apache/spark/mllib/evaluation/MulticlassMetrics.scala
 ##########
 @@ -28,28 +28,30 @@ import org.apache.spark.sql.{DataFrame, Row}
 /**
  * Evaluator for multiclass classification.
  *
- * @param predictionAndLabels an RDD of (prediction, label, weight) or
- *                         (prediction, label) tuples.
+ * @param predictionAndLabels an RDD of (prediction, label, weight, probability) or
+ *                            (prediction, label, weight) or (prediction, label) tuples.
  */
 @Since("1.1.0")
 class MulticlassMetrics @Since("1.1.0") (predictionAndLabels: RDD[_ <: Product]) {
 
   /**
    * An auxiliary constructor taking a DataFrame.
-   * @param predictionAndLabels a DataFrame with two double columns: prediction and label
+   * @param predictionAndLabels a DataFrame with columns: prediction, label, weight(optional)
+   *                            and probability(only for logloss)
    */
   private[mllib] def this(predictionAndLabels: DataFrame) =
-    this(predictionAndLabels.rdd.map {
-      case Row(prediction: Double, label: Double, weight: Double) =>
-        (prediction, label, weight)
-      case Row(prediction: Double, label: Double) =>
-        (prediction, label, 1.0)
-      case other =>
-        throw new IllegalArgumentException(s"Expected Row of tuples, got $other")
+    this(predictionAndLabels.rdd.map { r =>
 
 Review comment:
   matching will not work in pyspark, so I have to use `r.get` instead.
   `MultilabelMetrics` also deals with dataframe in this way.

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