Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3288#discussion_r20473211
--- Diff: mllib/src/main/scala/org/apache/spark/mllib/linalg/Vectors.scala
---
@@ -273,6 +289,47 @@ class DenseVector(val values: Array[Double]) extends
Vector {
override def copy: DenseVector = {
new DenseVector(values.clone())
}
+
+ private[spark] override def activeIterator(skippingZeros: Boolean) = new
Iterator[(Int, Double)] {
+ private var i = 0
+ private val valuesSize = values.size
+
+ // If zeros are asked to be explicitly skipped, the parent `size`
method is called to count
+ // the number of nonzero elements using `hasNext` and `next` methods.
+ override lazy val size: Int = if (skippingZeros) super.size else
valuesSize
+
+ override def hasNext = {
+ if (skippingZeros) {
+ var found = false
+ while (!found && i < valuesSize) if (values(i) != 0.0) found =
true else i += 1
+ }
+ i < valuesSize
+ }
+
+ override def next = {
+ val result = (i, values(i))
+ i += 1
+ result
+ }
+
+ override def foreach[@specialized(Unit) U](f: ((Int, Double)) => U) {
--- End diff --
Another option is force the return type to be `Unit`. Scala compiler will
know how to handle `f` with other return types.
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