Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/14555#discussion_r74021332
--- Diff:
mllib-local/src/main/scala/org/apache/spark/ml/linalg/Vectors.scala ---
@@ -560,11 +554,25 @@ class SparseVector @Since("2.0.0") (
@Since("2.0.0") val indices: Array[Int],
@Since("2.0.0") val values: Array[Double]) extends Vector {
- require(indices.length == values.length, "Sparse vectors require that
the dimension of the" +
- s" indices match the dimension of the values. You provided
${indices.length} indices and " +
- s" ${values.length} values.")
- require(indices.length <= size, s"You provided ${indices.length} indices
and values, " +
- s"which exceeds the specified vector size ${size}.")
+ validate()
+
+ private def validate(): Unit = {
+ require(size >= 0, "The size of the requested sparse vector must be
greater than 0.")
--- End diff --
This allows a size 0 vector now. I guess that's good, because `DenseVector`
allows this (a 0 length array).
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