Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/9667#discussion_r49019476
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/optimization/GradientDescent.scala
---
@@ -122,8 +122,8 @@ class GradientDescent private[spark] (private var
gradient: Gradient, private va
* @return solution vector
*/
@DeveloperApi
- def optimize(data: RDD[(Double, Vector)], initialWeights: Vector):
Vector = {
- val (weights, _) = GradientDescent.runMiniBatchSGD(
+ def optimize(data: RDD[(Double, Vector)], initialWeights: Vector):
(Vector, Double, Integer) = {
--- End diff --
There aren't currently; we need to find the time for it and might not
during this next release---but we'll see! If any, I'd suggest you watch
[https://issues.apache.org/jira/browse/SPARK-5256]; it's outdated but will
become active when we have the chance to work more on that API. Thanks!
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