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[SPARK-20615][ML][TEST] SparseVector.argmax throws IndexOutOfBoundsException #17877

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[SPARK-20615][ML][TEST] SparseVector.argmax throws IndexOutOfBoundsException #17877

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2096430
Added tests to illustrate bug SPARK-20615
May 5, 2017
5614f58
Made SparseVector.argmax return 0 when no values are defined in the v…
May 5, 2017
8969f02
Fixed style issue by removing whitespace
May 5, 2017
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Added tests to illustrate bug SPARK-20615
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Jon McLean committed May 5, 2017
commit 2096430261ca5709f09170c9ac523de0b612025f
7 changes: 7 additions & 0 deletions mllib-local/src/test/scala/org/apache/spark/ml/linalg/VectorsSuite.scala
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Expand Up @@ -125,6 +125,13 @@ class VectorsSuite extends SparkMLFunSuite {

val vec8 = Vectors.sparse(5, Array(1, 2), Array(0.0, -1.0))
assert(vec8.argmax === 0)

// Check for case when sparse vector is non-empty but the values are empty
val vec9 = Vectors.sparse(100, Array.empty[Int], Array.empty[Double]).asInstanceOf[SparseVector]
assert(vec9.argmax === 0)

val vec10 = Vectors.sparse(1, Array.empty[Int], Array.empty[Double]).asInstanceOf[SparseVector]
assert(vec10.argmax === 0)
}

test("vector equals") {
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7 changes: 7 additions & 0 deletions mllib/src/test/scala/org/apache/spark/mllib/linalg/VectorsSuite.scala
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Expand Up @@ -122,6 +122,13 @@ class VectorsSuite extends SparkFunSuite with Logging {

val vec8 = Vectors.sparse(5, Array(1, 2), Array(0.0, -1.0))
assert(vec8.argmax === 0)

// Check for case when sparse vector is non-empty but the values are empty
val vec9 = Vectors.sparse(100, Array.empty[Int], Array.empty[Double]).asInstanceOf[SparseVector]
assert(vec9.argmax === 0)

val vec10 = Vectors.sparse(1, Array.empty[Int], Array.empty[Double]).asInstanceOf[SparseVector]
assert(vec10.argmax === 0)
}

test("vector equals") {
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