Repository: spark Updated Branches: refs/heads/branch-1.5 5a32ed75c -> 95e44b4df
[SPARK-9800] Adds docs for GradientDescent$.runMiniBatchSGD alias * Adds doc for alias of runMIniBatchSGD documenting default value for convergeTol * Cleans up a note in code Author: Feynman Liang <fli...@databricks.com> Closes #8425 from feynmanliang/SPARK-9800. (cherry picked from commit c0e9ff1588b4d9313cc6ec6e00e5c7663eb67910) Signed-off-by: Joseph K. Bradley <jos...@databricks.com> Project: http://git-wip-us.apache.org/repos/asf/spark/repo Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/95e44b4d Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/95e44b4d Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/95e44b4d Branch: refs/heads/branch-1.5 Commit: 95e44b4df81b09803be2fde8c4e2566be0c8fdbc Parents: 5a32ed7 Author: Feynman Liang <fli...@databricks.com> Authored: Tue Aug 25 13:21:05 2015 -0700 Committer: Joseph K. Bradley <jos...@databricks.com> Committed: Tue Aug 25 13:21:16 2015 -0700 ---------------------------------------------------------------------- .../org/apache/spark/mllib/optimization/GradientDescent.scala | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/spark/blob/95e44b4d/mllib/src/main/scala/org/apache/spark/mllib/optimization/GradientDescent.scala ---------------------------------------------------------------------- diff --git a/mllib/src/main/scala/org/apache/spark/mllib/optimization/GradientDescent.scala b/mllib/src/main/scala/org/apache/spark/mllib/optimization/GradientDescent.scala index 8f0d1e4..3b663b5 100644 --- a/mllib/src/main/scala/org/apache/spark/mllib/optimization/GradientDescent.scala +++ b/mllib/src/main/scala/org/apache/spark/mllib/optimization/GradientDescent.scala @@ -235,7 +235,7 @@ object GradientDescent extends Logging { if (miniBatchSize > 0) { /** - * NOTE(Xinghao): lossSum is computed using the weights from the previous iteration + * lossSum is computed using the weights from the previous iteration * and regVal is the regularization value computed in the previous iteration as well. */ stochasticLossHistory.append(lossSum / miniBatchSize + regVal) @@ -264,6 +264,9 @@ object GradientDescent extends Logging { } + /** + * Alias of [[runMiniBatchSGD]] with convergenceTol set to default value of 0.001. + */ def runMiniBatchSGD( data: RDD[(Double, Vector)], gradient: Gradient, --------------------------------------------------------------------- To unsubscribe, e-mail: commits-unsubscr...@spark.apache.org For additional commands, e-mail: commits-h...@spark.apache.org
