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Posted to issues@spark.apache.org by "carlos yan (Jira)" <ji...@apache.org> on 2019/10/23 07:27:00 UTC
[jira] [Commented] (SPARK-24666) Word2Vec generate infinity vectors
when numIterations are large
[ https://issues.apache.org/jira/browse/SPARK-24666?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16957623#comment-16957623 ]
carlos yan commented on SPARK-24666:
------------------------------------
I also get this question, and my spark version is 2.1.0. I used 1000w record for train and words size is about 100w. When the numIterations>10, the vectors generated contain *infinity* and *NaN*.
> Word2Vec generate infinity vectors when numIterations are large
> ---------------------------------------------------------------
>
> Key: SPARK-24666
> URL: https://issues.apache.org/jira/browse/SPARK-24666
> Project: Spark
> Issue Type: Bug
> Components: ML, MLlib
> Affects Versions: 2.3.1
> Environment: 2.0.X, 2.1.X, 2.2.X, 2.3.X
> Reporter: ZhongYu
> Priority: Critical
>
> We found that Word2Vec generate large absolute value vectors when numIterations are large, and if numIterations are large enough (>20), the vector's value many be *infinity(or -**infinity)***, resulting in useless vectors.
> In normal situations, vectors values are mainly around -1.0~1.0 when numIterations = 1.
> The bug is shown on spark 2.0.X, 2.1.X, 2.2.X, 2.3.X.
> There are already issues report this bug: https://issues.apache.org/jira/browse/SPARK-5261 , but the bug fix works seems missing.
> Other people's reports:
> [https://stackoverflow.com/questions/49741956/infinity-vectors-in-spark-mllib-word2vec]
> [http://apache-spark-user-list.1001560.n3.nabble.com/word2vec-outputs-Infinity-Infinity-vectors-with-increasing-iterations-td29020.html]
>
>
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