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Posted to commits@spark.apache.org by me...@apache.org on 2015/05/22 04:05:07 UTC

spark git commit: [DOCS] [MLLIB] Fixing broken link in MLlib Linear Methods documentation.

Repository: spark
Updated Branches:
  refs/heads/master 956c4c910 -> e4136ea6c


[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 <du...@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.


Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/e4136ea6
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/e4136ea6
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/e4136ea6

Branch: refs/heads/master
Commit: e4136ea6c457bc74cee312aa14974498ab4633eb
Parents: 956c4c9
Author: Mike Dusenberry <du...@gmail.com>
Authored: Thu May 21 19:05:04 2015 -0700
Committer: Xiangrui Meng <me...@databricks.com>
Committed: Thu May 21 19:05:04 2015 -0700

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 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/e4136ea6/docs/mllib-linear-methods.md
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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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