You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2016/01/11 23:51:40 UTC
[jira] [Resolved] (SPARK-12685) word2vec trainWordsCount gets
overflow
[ https://issues.apache.org/jira/browse/SPARK-12685?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Joseph K. Bradley resolved SPARK-12685.
---------------------------------------
Resolution: Fixed
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: 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))
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org