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
########## File path: mllib/src/test/scala/org/apache/spark/ml/classification/GBTClassifierSuite.scala ########## @@ -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 ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org