Repository: mahout
Updated Branches:
  refs/heads/master 383493d6c -> d7a87936e


Revert "reorder  javadoc  paramter comments"

This reverts commit 383493d6c2d4f7b011030c3f00324f11042f381f.


Project: http://git-wip-us.apache.org/repos/asf/mahout/repo
Commit: http://git-wip-us.apache.org/repos/asf/mahout/commit/d7a87936
Tree: http://git-wip-us.apache.org/repos/asf/mahout/tree/d7a87936
Diff: http://git-wip-us.apache.org/repos/asf/mahout/diff/d7a87936

Branch: refs/heads/master
Commit: d7a87936ef386476db88db323d19345b1064eae2
Parents: 383493d
Author: Andrew Palumbo <[email protected]>
Authored: Wed Apr 27 18:54:28 2016 -0400
Committer: Andrew Palumbo <[email protected]>
Committed: Wed Apr 27 18:54:28 2016 -0400

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 .../mahout/vectorizer/DictionaryVectorizer.java       | 14 ++++----------
 1 file changed, 4 insertions(+), 10 deletions(-)
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http://git-wip-us.apache.org/repos/asf/mahout/blob/d7a87936/mr/src/main/java/org/apache/mahout/vectorizer/DictionaryVectorizer.java
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diff --git 
a/mr/src/main/java/org/apache/mahout/vectorizer/DictionaryVectorizer.java 
b/mr/src/main/java/org/apache/mahout/vectorizer/DictionaryVectorizer.java
index 27e2452..8a1f8f8 100644
--- a/mr/src/main/java/org/apache/mahout/vectorizer/DictionaryVectorizer.java
+++ b/mr/src/main/java/org/apache/mahout/vectorizer/DictionaryVectorizer.java
@@ -122,6 +122,10 @@ public final class DictionaryVectorizer extends 
AbstractJob implements Vectorize
    *          The name of the folder in which the final output vectors will be 
stored
    * @param baseConf
    *          job configuration
+   * @param normPower
+   *          L_p norm to be computed
+   * @param logNormalize
+   *          whether to use log normalization         
    * @param minSupport
    *          the minimum frequency of the feature in the entire corpus to be 
considered for inclusion in the
    *          sparse vector
@@ -129,22 +133,12 @@ public final class DictionaryVectorizer extends 
AbstractJob implements Vectorize
    *          1 = unigram, 2 = unigram and bigram, 3 = unigram, bigram and 
trigram
    * @param minLLRValue
    *          minValue of log likelihood ratio to used to prune ngrams
-   * @param normPower
-   *          L_p norm to be computed
-   * @param logNormalize
-   *          whether to use log normalization         
-   * @param numReducers
-   *          
    * @param chunkSizeInMegabytes
    *          the size in MB of the feature => id chunk to be kept in memory 
at each node during Map/Reduce
    *          stage. Its recommended you calculated this based on the number 
of cores and the free memory
    *          available to you per node. Say, you have 2 cores and around 1GB 
extra memory to spare we
    *          recommend you use a split size of around 400-500MB so that two 
simultaneous reducers can create
    *          partial vectors without thrashing the system due to increased 
swapping
-   * @param sequentialAccess
-   *          
-   * @param namedVectors
-   *          
    */
   public static void createTermFrequencyVectors(Path input,
                                                 Path output,

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