Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/23126#discussion_r236656961
--- Diff:
mllib/src/test/scala/org/apache/spark/mllib/linalg/distributed/RowMatrixSuite.scala
---
@@ -266,6 +266,16 @@ class RowMatrixSuite extends SparkFunSuite with
MLlibTestSparkContext {
}
}
+ test("dense vector covariance accuracy (SPARK-26158)") {
+ val rdd1 = sc.parallelize(Array(100000.000004, 100000.000012,
99999.9999931, 99999.9999977))
--- End diff --
I think you could just parallelize a couple DenseVectors, or (x,y) tuples
and transform, rather than this way, but it doesn't matter really.
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