Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/16441#discussion_r94861988
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/classification/GBTClassifierSuite.scala
---
@@ -66,10 +66,39 @@ class GBTClassifierSuite extends SparkFunSuite with
MLlibTestSparkContext
ParamsSuite.checkParams(new GBTClassifier)
val model = new GBTClassificationModel("gbtc",
Array(new DecisionTreeRegressionModel("dtr", new LeafNode(0.0, 0.0,
null), 1)),
- Array(1.0), 1)
+ Array(1.0), 1, 2)
ParamsSuite.checkParams(model)
}
+ test("Verify raw scores correspond to labels") {
+ val rawPredictionCol = "MyRawPrediction"
--- End diff --
Just use defaults here. And I'm in favor of only setting parameters that
matter for the given test, otherwise it may give the impression that the test
depends on a certain, say checkpoint interval.
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