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https://issues.apache.org/jira/browse/SPARK-7615?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14543977#comment-14543977
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Angel Martinez Gonzalez commented on SPARK-7615:
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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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