Repository: spark
Updated Branches:
  refs/heads/branch-1.4 df55a0d76 -> 2cc7907d7


[DOCS] [MLLIB] Fixing broken link in MLlib Linear Methods documentation.

Just a small change: fixed a broken link in the MLlib Linear Methods 
documentation by removing a newline character between the link title and link 
address.

Author: Mike Dusenberry <dusenberr...@gmail.com>

Closes #6340 from dusenberrymw/Fix_MLlib_Linear_Methods_link and squashes the 
following commits:

0a57818 [Mike Dusenberry] Fixing broken link in MLlib Linear Methods 
documentation.

(cherry picked from commit e4136ea6c457bc74cee312aa14974498ab4633eb)
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/2cc7907d
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/2cc7907d
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/2cc7907d

Branch: refs/heads/branch-1.4
Commit: 2cc7907d7383b6b8743ce6f462286489da4a55c6
Parents: df55a0d
Author: Mike Dusenberry <dusenberr...@gmail.com>
Authored: Thu May 21 19:05:04 2015 -0700
Committer: Xiangrui Meng <m...@databricks.com>
Committed: Thu May 21 19:05:11 2015 -0700

----------------------------------------------------------------------
 docs/mllib-linear-methods.md | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)
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http://git-wip-us.apache.org/repos/asf/spark/blob/2cc7907d/docs/mllib-linear-methods.md
----------------------------------------------------------------------
diff --git a/docs/mllib-linear-methods.md b/docs/mllib-linear-methods.md
index 2b2be4d..8029edc 100644
--- a/docs/mllib-linear-methods.md
+++ b/docs/mllib-linear-methods.md
@@ -785,8 +785,7 @@ gradient descent (`stepSize`, `numIterations`, 
`miniBatchFraction`).  For each o
 all three possible regularizations (none, L1 or L2).
 
 For Logistic Regression, 
[L-BFGS](api/scala/index.html#org.apache.spark.mllib.optimization.LBFGS)
-version is implemented under [LogisticRegressionWithLBFGS]
-(api/scala/index.html#org.apache.spark.mllib.classification.LogisticRegressionWithLBFGS),
 and this
+version is implemented under 
[LogisticRegressionWithLBFGS](api/scala/index.html#org.apache.spark.mllib.classification.LogisticRegressionWithLBFGS),
 and this
 version supports both binary and multinomial Logistic Regression while SGD 
version only supports
 binary Logistic Regression. However, L-BFGS version doesn't support L1 
regularization but SGD one
 supports L1 regularization. When L1 regularization is not required, L-BFGS 
version is strongly


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