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Posted to commits@spark.apache.org by me...@apache.org on 2014/06/17 08:10:43 UTC
git commit: MLlib documentation fix
Repository: spark
Updated Branches:
refs/heads/master 237b96bc5 -> 7afa912e7
MLlib documentation fix
Synchronized mllib-optimization.md with Spark Scaladoc: removed reference to GradientDescent.runMiniBatchSGD method
This is a temporary fix to remove a link from http://spark.apache.org/docs/latest/mllib-optimization.html to GradientDescent.runMiniBatchSGD which is not in the current online GradientDescent Scaladoc.
FIXME: revert this commit after GradientDescent Scaladoc is updated.
See images for details.


Author: Anatoli Fomenko <fa...@apache.org>
Closes #1098 from afomenko/master and squashes the following commits:
5cb0758 [Anatoli Fomenko] MLlib documentation fix
Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/7afa912e
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/7afa912e
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/7afa912e
Branch: refs/heads/master
Commit: 7afa912e747c77ebfd10bddf7bda2e3190fdeb9c
Parents: 237b96b
Author: Anatoli Fomenko <fa...@apache.org>
Authored: Mon Jun 16 23:10:36 2014 -0700
Committer: Xiangrui Meng <me...@databricks.com>
Committed: Mon Jun 16 23:10:36 2014 -0700
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docs/mllib-optimization.md | 8 ++++----
1 file changed, 4 insertions(+), 4 deletions(-)
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http://git-wip-us.apache.org/repos/asf/spark/blob/7afa912e/docs/mllib-optimization.md
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diff --git a/docs/mllib-optimization.md b/docs/mllib-optimization.md
index 97e8f4e..ae9ede5 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