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

["Angel Martinez Gonzalez (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-7615?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14543977#comment-14543977 ] 

Angel Martinez Gonzalez commented on SPARK-7615:
------------------------------------------------

Hi, is any body working on this (and SPARK-7617, SPARK-7618)? I have been using Spark for some time, and would like get started contributing. This looks like a trivial issue (good fo a newbie).

Shall I provide a pull request for this? Would it make sense a pull request for the three related issues?



> 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
>            Priority: Minor
>   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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