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https://issues.apache.org/jira/browse/SPARK-4101?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Peter Rudenko updated SPARK-4101:
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Description:
1) Would be nice to be able to retrieve underlying model map, to be able to
work with it after (make an RDD, persist/load, online train, etc.). (Done by
2) Add analogyWords(w1: String, w2: String, target: String, num: Int) method,
which returns n words that relates to target as w1 to w2.
was:
1) Would be nice to be able to retrieve underlying model map, to be able to
work with it after (make an RDD, persist/load, online train, etc.).
2) Add analogyWords(w1: String, w2: String, target: String, num: Int) method,
which returns n words that relates to target as w1 to w2.
> [MLLIB] Improve API in Word2Vec model
> -------------------------------------
>
> Key: SPARK-4101
> URL: https://issues.apache.org/jira/browse/SPARK-4101
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Affects Versions: 1.1.0
> Reporter: Peter Rudenko
> Priority: Minor
>
> 1) Would be nice to be able to retrieve underlying model map, to be able to
> work with it after (make an RDD, persist/load, online train, etc.). (Done by
> 2) Add analogyWords(w1: String, w2: String, target: String, num: Int) method,
> which returns n words that relates to target as w1 to w2.
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