Github user yanboliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/14150#discussion_r70821947
--- Diff:
mllib/src/test/scala/org/apache/spark/mllib/clustering/LDASuite.scala ---
@@ -118,8 +118,8 @@ class LDASuite extends SparkFunSuite with
MLlibTestSparkContext {
assert(weights.length == 2)
val bdvTopicDist = topicDistribution.asBreeze
val top2Indices = argtopk(bdvTopicDist, 2)
- assert(top2Indices.toArray === indices)
- assert(bdvTopicDist(top2Indices).toArray === weights)
+ assert(top2Indices.toSet === indices.toSet)
+ assert(bdvTopicDist(top2Indices).toArray.toSet === weights.toSet)
--- End diff --
```argtopk``` does not guarantee the output is sorted. In breeze 0.12, it
speed up ```argtopk``` for ```breeze.linalg.DenseVector``` with
```quickSelect``` rather than sorting the vector. So here we should compare the
equality of set.
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