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https://issues.apache.org/jira/browse/SPARK-7617?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-7617:
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Assignee: YongGang Cao
> Word2VecModel fVector not normalized
> ------------------------------------
>
> Key: SPARK-7617
> URL: https://issues.apache.org/jira/browse/SPARK-7617
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Affects Versions: 1.3.1
> Reporter: Eric Li
> Assignee: YongGang Cao
> Priority: Trivial
> Fix For: 2.0.0
>
> Original Estimate: 1h
> Remaining Estimate: 1h
>
> fVector is not divided by norm in findSynonyms. This will not affect the
> order of synonyms, since it is a constant. However, the calculated cosine
> distances will not be comparable across different words.
> For example,
> findSynonyms("sf", 1) return [("oakland", 0.2)]
> findSynonyms("dc", 1) return [("arlington", 0.3)]
> We cannot say compare the distances 0.2 with 0.3, since distances are not
> normalized.
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