Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/16661#discussion_r97530588
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/clustering/GaussianMixture.scala ---
@@ -486,6 +491,9 @@ class GaussianMixture @Since("2.0.0") (
@Since("2.0.0")
object GaussianMixture extends DefaultParamsReadable[GaussianMixture] {
+ /** Limit number of features such that numFeatures^2^ < Integer.MaxValue
*/
+ private[clustering] val MAX_NUM_FEATURES = 46000
--- End diff --
Is floor(sqrt(2^31-1)) = 46340 more accurate? or is there overhead that
prevents this from being achievable? I know it's a corner case, but if 46000 is
a number that's just "about" the real max, let's just use the real max.
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