Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/13981#discussion_r69770334
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/regression/DecisionTreeRegressorSuite.scala
---
@@ -96,6 +97,25 @@ class DecisionTreeRegressorSuite
assert(variance === expectedVariance,
s"Expected variance $expectedVariance but got $variance.")
}
+
+ val varianceData: RDD[LabeledPoint] = TreeTests.varianceData(sc)
+ val varianceDF = TreeTests.setMetadata(varianceData, Map.empty[Int,
Int], 0)
+ dt.setMaxDepth(1)
+ .setMaxBins(6)
+ .setSeed(0)
+ val transformVarDF = dt.fit(varianceDF).transform(varianceDF)
+ val calculatedVariances =
transformVarDF.select(dt.getVarianceCol).collect().map {
--- End diff --
Ah, I see. Thanks for the note. I wasn't familiar with the Dataset API till
now.
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