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Posted to commits@spark.apache.org by sr...@apache.org on 2015/02/28 15:48:39 UTC

spark git commit: SPARK-6063 MLlib doesn't pass mvn scalastyle check due to UTF chars in LDAModel.scala

Repository: spark
Updated Branches:
  refs/heads/master e6003f0a5 -> b36b1bc22


SPARK-6063 MLlib doesn't pass mvn scalastyle check due to UTF chars in LDAModel.scala

Remove unicode characters from MLlib file.

Author: Michael Griffiths <ms...@gmail.com>
Author: Griffiths, Michael (NYC-RPM) <mi...@reprisemedia.com>

Closes #4815 from msjgriffiths/SPARK-6063 and squashes the following commits:

bcd7de1 [Griffiths, Michael (NYC-RPM)] Change \u201D quote marks around 'theta' to standard single apostrophe (\x27)
38eb535 [Michael Griffiths] Merge pull request #2 from apache/master
b08e865 [Michael Griffiths] Merge pull request #1 from apache/master


Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/b36b1bc2
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/b36b1bc2
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/b36b1bc2

Branch: refs/heads/master
Commit: b36b1bc22ea73669b0f69ed21e77d47fb0a7cd5d
Parents: e6003f0
Author: Michael Griffiths <ms...@gmail.com>
Authored: Sat Feb 28 14:47:39 2015 +0000
Committer: Sean Owen <so...@cloudera.com>
Committed: Sat Feb 28 14:48:03 2015 +0000

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 .../main/scala/org/apache/spark/mllib/clustering/LDAModel.scala    | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)
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http://git-wip-us.apache.org/repos/asf/spark/blob/b36b1bc2/mllib/src/main/scala/org/apache/spark/mllib/clustering/LDAModel.scala
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diff --git a/mllib/src/main/scala/org/apache/spark/mllib/clustering/LDAModel.scala b/mllib/src/main/scala/org/apache/spark/mllib/clustering/LDAModel.scala
index b0e991d..0a3f21e 100644
--- a/mllib/src/main/scala/org/apache/spark/mllib/clustering/LDAModel.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/clustering/LDAModel.scala
@@ -130,7 +130,7 @@ abstract class LDAModel private[clustering] {
 
   /* TODO
    * Compute the estimated topic distribution for each document.
-   * This is often called “theta” in the literature.
+   * This is often called 'theta' in the literature.
    *
    * @param documents  RDD of documents, which are term (word) count vectors paired with IDs.
    *                   The term count vectors are "bags of words" with a fixed-size vocabulary


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