Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15413#discussion_r85188373
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/clustering/GaussianMixture.scala ---
@@ -350,6 +458,145 @@ object GaussianMixture extends
DefaultParamsReadable[GaussianMixture] {
@Since("2.0.0")
override def load(path: String): GaussianMixture = super.load(path)
+
+ /**
+ * Heuristic to distribute the computation of the
[[MultivariateGaussian]]s, approximately when
+ * d > 25 except for when k is very small.
+ *
+ * @param k Number of topics
+ * @param d Number of features
+ */
+ private[clustering] def shouldDistributeGaussians(k: Int, d: Int):
Boolean = {
+ ((k - 1.0) / k) * d > 25
--- End diff --
nit: 25.0. Also, let's call it `numFeatures` instead of `d`
---
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]
