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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2016/01/11 23:50:40 UTC
[jira] [Comment Edited] (SPARK-12685) word2vec trainWordsCount gets
overflow
[ https://issues.apache.org/jira/browse/SPARK-12685?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15092855#comment-15092855 ]
Joseph K. Bradley edited comment on SPARK-12685 at 1/11/16 10:50 PM:
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(edit) It did not cherry-pick cleanly to previous Spark versions. Would you mind sending backport PRs for branch-1.4, 1.5, and 1.6? Thank you!
was (Author: josephkb):
It looks easy to backport. I targeted it for 1.4+
> 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
>
> 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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