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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/01/11 11:51:39 UTC
[jira] [Commented] (SPARK-7615) MLLIB Word2Vec wordVectors divided
by Euclidean Norm equals to zero
[ https://issues.apache.org/jira/browse/SPARK-7615?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15091762#comment-15091762 ]
Apache Spark commented on SPARK-7615:
-------------------------------------
User 'srowen' has created a pull request for this issue:
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
> 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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