Github user mouendless commented on a diff in the pull request:
https://github.com/apache/spark/pull/13133#discussion_r63500998
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/clustering/LocalKMeans.scala ---
@@ -46,17 +46,15 @@ private[mllib] object LocalKMeans extends Logging {
// Initialize centers by sampling using the k-means++ procedure.
centers(0) = pickWeighted(rand, points, weights).toDense
+ val costArray = points.map(KMeans.fastSquaredDistance(_, centers(0)))
+
for (i <- 1 until k) {
- // Pick the next center with a probability proportional to cost
under current centers
- val curCenters = centers.view.take(i)
- val sum = points.view.zip(weights).map { case (p, w) =>
- w * KMeans.pointCost(curCenters, p)
- }.sum
+ val sum = costArray.view.zip(weights).map(p => p._1 * p._2).sum
--- End diff --
Oh yes, it's now only an int array and unnecessary with view
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
