zhengruifeng commented on a change in pull request #32673:
URL: https://github.com/apache/spark/pull/32673#discussion_r641077227
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File path:
mllib/src/test/scala/org/apache/spark/ml/optim/aggregator/DifferentiableLossAggregatorSuite.scala
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@@ -149,10 +152,43 @@ object DifferentiableLossAggregatorSuite {
override def add(instance: Instance): TestAggregator = {
val error = instance.label - BLAS.dot(coefficients, instance.features)
- weightSum += instance.weight
- lossSum += instance.weight * error * error / 2.0
- (0 until dim).foreach { j =>
- gradientSumArray(j) += instance.weight * error * instance.features(j)
+ val mathCls = Utils.classForName("java.lang.Math")
Review comment:
> An approximate equality test is appropriate here. I'm not sure why it
varies in Java 11, but I could imagine tiny differences are possible. This is
OK.
+1
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