[
https://issues.apache.org/jira/browse/SPARK-7615?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14549227#comment-14549227
]
Apache Spark commented on SPARK-7615:
-------------------------------------
User 'ezli' has created a pull request for this issue:
https://github.com/apache/spark/pull/6245
> 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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
