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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2015/04/05 08:31:33 UTC
[jira] [Commented] (SPARK-5261) In some cases ,The value of word's
vector representation is too big
[ https://issues.apache.org/jira/browse/SPARK-5261?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14396112#comment-14396112 ]
Sean Owen commented on SPARK-5261:
----------------------------------
I think they both come down to a minCount that is too low. If you're going to reopen, can you please follow up on the request to try that? or provide your data set? I don't think it's actionable if there's no follow-up.
> In some cases ,The value of word's vector representation is too big
> -------------------------------------------------------------------
>
> Key: SPARK-5261
> URL: https://issues.apache.org/jira/browse/SPARK-5261
> Project: Spark
> Issue Type: Bug
> Components: MLlib
> Affects Versions: 1.2.0
> Reporter: Guoqiang Li
>
> {code}
> val word2Vec = new Word2Vec()
> word2Vec.
> setVectorSize(100).
> setSeed(42L).
> setNumIterations(5).
> setNumPartitions(36)
> {code}
> The average absolute value of the word's vector representation is 60731.8
> {code}
> val word2Vec = new Word2Vec()
> word2Vec.
> setVectorSize(100).
> setSeed(42L).
> setNumIterations(5).
> setNumPartitions(1)
> {code}
> The average absolute value of the word's vector representation is 0.13889
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