srowen commented on a change in pull request #21632: [SPARK-19591][ML][MLlib]
Add sample weights to decision trees
URL: https://github.com/apache/spark/pull/21632#discussion_r243598241
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File path:
mllib/src/test/scala/org/apache/spark/ml/classification/GBTClassifierSuite.scala
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@@ -236,7 +236,8 @@ class GBTClassifierSuite extends MLTest with
DefaultReadWriteTest {
sc.setCheckpointDir(path)
val categoricalFeatures = Map.empty[Int, Int]
- val df: DataFrame = TreeTests.setMetadata(data, categoricalFeatures,
numClasses = 2)
+ val df: DataFrame =
+ TreeTests.setMetadata(data.map(_.toInstance), categoricalFeatures,
numClasses = 2)
Review comment:
This method should probably just accept LabeledPoints and map them
internally, if almost all calls need the caller to map it
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