Repository: spark Updated Branches: refs/heads/branch-1.0 235cfd0f6 -> d7db2e63a
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 <f...@apache.org> Closes #1098 from afomenko/master and squashes the following commits: 5cb0758 [Anatoli Fomenko] MLlib documentation fix (cherry picked from commit 7afa912e747c77ebfd10bddf7bda2e3190fdeb9c) Signed-off-by: Xiangrui Meng <m...@databricks.com> Project: http://git-wip-us.apache.org/repos/asf/spark/repo Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/d7db2e63 Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/d7db2e63 Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/d7db2e63 Branch: refs/heads/branch-1.0 Commit: d7db2e63a474d1fae3864872269f248df64e6510 Parents: 235cfd0 Author: Anatoli Fomenko <f...@apache.org> Authored: Mon Jun 16 23:10:36 2014 -0700 Committer: Xiangrui Meng <m...@databricks.com> Committed: Mon Jun 16 23:10:51 2014 -0700 ---------------------------------------------------------------------- docs/mllib-optimization.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/spark/blob/d7db2e63/docs/mllib-optimization.md ---------------------------------------------------------------------- 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
