diff options
| -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, |