[jira] [Resolved] (SPARK-7615) MLLIB Word2Vec wordVectors divided by Euclidean Norm equals to zero

["Sean Owen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-7615?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-7615.
------------------------------
       Resolution: Fixed
         Assignee: Sean Owen
    Fix Version/s: 2.0.0
                   1.6.1

Resolved by https://github.com/apache/spark/pull/10696

> MLLIB Word2Vec wordVectors divided by Euclidean Norm equals to zero 
> --------------------------------------------------------------------
>
>                 Key: SPARK-7615
>                 URL: https://issues.apache.org/jira/browse/SPARK-7615
>             Project: Spark
>          Issue Type: Bug
>          Components: MLlib
>    Affects Versions: 1.3.1
>            Reporter: Eric Li
>            Assignee: Sean Owen
>            Priority: Minor
>             Fix For: 1.6.1, 2.0.0
>
>   Original Estimate: 1h
>  Remaining Estimate: 1h
>
> In Word2VecModel, wordVecNorms may contains Euclidean Norm equals to zero. This will cause incorrect calculation for cosine distance. when you do cosineVec(ind) / wordVecNorms(ind). Cosine distance should be equal to 0 for norm = 0. 



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