Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/5697#discussion_r29105222
--- Diff: mllib/src/main/scala/org/apache/spark/mllib/linalg/Vectors.scala
---
@@ -556,6 +579,28 @@ class SparseVector(
i += 1
}
}
+
+ override def hashCode(): Int = {
--- End diff --
Should SparseVector use the first 16 non-zero values instead of the first
16? For sparse data, it would not be surprising for a bunch of vectors to have
all-zeros in the first 16 elements.
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