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Diffstat (limited to 'docs/mllib-optimization.md')
| -rw-r--r-- | docs/mllib-optimization.md | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/docs/mllib-optimization.md b/docs/mllib-optimization.md index 97e8f4e966..ae9ede58e8 100644 --- a/docs/mllib-optimization.md +++ b/docs/mllib-optimization.md @@ -147,9 +147,9 @@ are developed, see the <a href="mllib-linear-methods.html">linear methods</a> section for example. -The SGD method -[GradientDescent.runMiniBatchSGD](api/scala/index.html#org.apache.spark.mllib.optimization.GradientDescent) -has the following parameters: +The SGD class +[GradientDescent](api/scala/index.html#org.apache.spark.mllib.optimization.GradientDescent) +sets the following parameters: * `Gradient` is a class that computes the stochastic gradient of the function being optimized, i.e., with respect to a single training example, at the @@ -171,7 +171,7 @@ each iteration, to compute the gradient direction. Available algorithms for gradient descent: -* [GradientDescent.runMiniBatchSGD](api/scala/index.html#org.apache.spark.mllib.optimization.GradientDescent) +* [GradientDescent](api/scala/index.html#org.apache.spark.mllib.optimization.GradientDescent) ### L-BFGS L-BFGS is currently only a low-level optimization primitive in `MLlib`. If you want to use L-BFGS in various |