Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/6737#discussion_r34103246
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/clustering/KMeans.scala ---
@@ -193,20 +208,30 @@ class KMeans private (
val initStartTime = System.nanoTime()
- val centers = if (initializationMode == KMeans.RANDOM) {
- initRandom(data)
- } else {
- initKMeansParallel(data)
- }
+ // Only one run is allowed when initialModel is given
+ val numRuns = if (initialModel.nonEmpty) 1 else runs
+ logWarning("Ignoring runs; one run is allowed when initialModel is
given.")
+ val centers = initialModel match {
+ case Some(kMeansCenters) => {
+ Array(kMeansCenters.clusterCenters.map(s => new VectorWithNorm(s,
Vectors.norm(s, 2.0))))
--- End diff --
Simple to call ```new VectorWithNorm(s)``` and let the constructor handle
computing the norm
---
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]
