Repository: spark
Updated Branches:
  refs/heads/branch-1.6 94ce5025f -> c0f0f6cb0


[MINOR][DOC] Fix broken word2vec link

Follow-up of [SPARK-12199](https://issues.apache.org/jira/browse/SPARK-12199) 
and #10193 where a broken link has been left as is.

Author: BenFradet <benjamin.fra...@gmail.com>

Closes #10282 from BenFradet/SPARK-12199.

(cherry picked from commit e25f1fe42747be71c6b6e6357ca214f9544e3a46)
Signed-off-by: Sean Owen <so...@cloudera.com>


Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/c0f0f6cb
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/c0f0f6cb
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/c0f0f6cb

Branch: refs/heads/branch-1.6
Commit: c0f0f6cb0fef6e939744b60fdd4911c718f8fac5
Parents: 94ce502
Author: BenFradet <benjamin.fra...@gmail.com>
Authored: Mon Dec 14 13:50:30 2015 +0000
Committer: Sean Owen <so...@cloudera.com>
Committed: Mon Dec 14 13:50:40 2015 +0000

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 docs/ml-features.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)
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http://git-wip-us.apache.org/repos/asf/spark/blob/c0f0f6cb/docs/ml-features.md
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diff --git a/docs/ml-features.md b/docs/ml-features.md
index 158f3f2..677e4bf 100644
--- a/docs/ml-features.md
+++ b/docs/ml-features.md
@@ -63,7 +63,7 @@ the [IDF Python 
docs](api/python/pyspark.ml.html#pyspark.ml.feature.IDF) for mor
 `Word2VecModel`. The model maps each word to a unique fixed-size vector. The 
`Word2VecModel`
 transforms each document into a vector using the average of all words in the 
document; this vector
 can then be used for as features for prediction, document similarity 
calculations, etc.
-Please refer to the [MLlib user guide on 
Word2Vec](mllib-feature-extraction.html#word2Vec) for more
+Please refer to the [MLlib user guide on 
Word2Vec](mllib-feature-extraction.html#word2vec) for more
 details.
 
 In the following code segment, we start with a set of documents, each of which 
is represented as a sequence of words. For each document, we transform it into 
a feature vector. This feature vector could then be passed to a learning 
algorithm.


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