zhengruifeng commented on a change in pull request #35457:
URL: https://github.com/apache/spark/pull/35457#discussion_r811642211
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File path: mllib/src/main/scala/org/apache/spark/mllib/clustering/KMeans.scala
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@@ -269,15 +269,22 @@ class KMeans private (
instr.foreach(_.logNumFeatures(numFeatures))
- val shouldDistributed = centers.length * centers.length *
numFeatures.toLong > 1000000L
+ val shouldComputeStats =
+ DistanceMeasure.shouldComputeStatistics(centers.length)
+ val shouldComputeStatsLocally =
+ DistanceMeasure.shouldComputeStatisticsLocally(centers.length,
numFeatures)
// Execute iterations of Lloyd's algorithm until converged
while (iteration < maxIterations && !converged) {
val bcCenters = sc.broadcast(centers)
- val stats = if (shouldDistributed) {
Review comment:
previous stats is a Array[Double]
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