Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/9667#discussion_r48920506
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/optimization/GradientDescent.scala
---
@@ -178,7 +178,7 @@ object GradientDescent extends Logging {
regParam: Double,
miniBatchFraction: Double,
initialWeights: Vector,
- convergenceTol: Double): (Vector, Array[Double]) = {
+ convergenceTol: Double): (Vector, Array[Double], Integer) = {
--- End diff --
Do you have to change the API here? The loss history should have length =
num iterations, right?
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