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| author | Feynman Liang <fliang@databricks.com> | 2015-08-25 13:21:05 -0700 |
|---|---|---|
| committer | Joseph K. Bradley <joseph@databricks.com> | 2015-08-25 13:21:16 -0700 |
| commit | 95e44b4df81b09803be2fde8c4e2566be0c8fdbc (patch) | |
| tree | 47b4933d7d1e6b750fcd852ec6b2bef4b11d732a | |
| parent | 5a32ed75c939dc42886ea940aba2b14b89e9f40e (diff) | |
| download | spark-95e44b4df81b09803be2fde8c4e2566be0c8fdbc.tar.gz spark-95e44b4df81b09803be2fde8c4e2566be0c8fdbc.tar.bz2 spark-95e44b4df81b09803be2fde8c4e2566be0c8fdbc.zip | |
[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 <fliang@databricks.com>
Closes #8425 from feynmanliang/SPARK-9800.
(cherry picked from commit c0e9ff1588b4d9313cc6ec6e00e5c7663eb67910)
Signed-off-by: Joseph K. Bradley <joseph@databricks.com>
| -rw-r--r-- | mllib/src/main/scala/org/apache/spark/mllib/optimization/GradientDescent.scala | 5 |
1 files changed, 4 insertions, 1 deletions
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 8f0d1e4aa0..3b663b5def 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, |