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https://issues.apache.org/jira/browse/SPARK-7618?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-7618:
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Assignee: Apache Spark
> Word2VecModel cache normalized wordVectors to speed up findSynonyms
> -------------------------------------------------------------------
>
> Key: SPARK-7618
> URL: https://issues.apache.org/jira/browse/SPARK-7618
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Affects Versions: 1.3.1
> Reporter: Eric Li
> Assignee: Apache Spark
> Priority: Minor
> Original Estimate: 2h
> Remaining Estimate: 2h
>
> In current implementation, each findSynonyms call will need to do a Euclidean
> Normalization (cosineVec / wordVecNorms), this is expensive. Caching a copy
> of normalized wordVectors will speed up multiple findSynonyms call. This is
> how the Google's word2vec C code implemented.
> In addition, doing a lazy loading for wordVectors will be nice as well.
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