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From "Joseph K. Bradley (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-12685) word2vec trainWordsCount gets overflow
Date Wed, 13 Jan 2016 19:55:39 GMT

     [ https://issues.apache.org/jira/browse/SPARK-12685?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Joseph K. Bradley updated SPARK-12685:
--------------------------------------
    Fix Version/s: 2.0.0

> word2vec trainWordsCount gets overflow
> --------------------------------------
>
>                 Key: SPARK-12685
>                 URL: https://issues.apache.org/jira/browse/SPARK-12685
>             Project: Spark
>          Issue Type: Bug
>          Components: MLlib
>    Affects Versions: 1.6.0
>            Reporter: yuhao yang
>            Assignee: yuhao yang
>            Priority: Minor
>             Fix For: 1.4.2, 1.5.3, 1.6.1, 2.0.0
>
>
> the log of word2vec  reports 
> trainWordsCount = -785727483
> during computation over a large dataset.
> I'll also add vocabsize to the log.
> Update the priority as it will affects the computation process.
> alpha =
> learningRate * (1 - numPartitions * wordCount.toDouble / (trainWordsCount + 1))



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