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Subject spark git commit: [DOCS] [MLLIB] Fixing broken link in MLlib Linear Methods documentation.
Date Fri, 22 May 2015 02:05:16 GMT
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 <>

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 <>


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

 docs/ | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)
diff --git a/docs/ b/docs/
index 2b2be4d..8029edc 100644
--- a/docs/
+++ b/docs/
@@ -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]
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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