You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Eric Li (JIRA)" <ji...@apache.org> on 2015/05/13 23:19:01 UTC
[jira] [Updated] (SPARK-7615) Word2Vec wordVectors divided by
Euclidean Norm equals to zero
[ https://issues.apache.org/jira/browse/SPARK-7615?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Eric Li updated SPARK-7615:
---------------------------
Summary: Word2Vec wordVectors divided by Euclidean Norm equals to zero (was: WordVector divided by Euclidean Norm equals to zero )
> Word2Vec wordVectors divided by Euclidean Norm equals to zero
> --------------------------------------------------------------
>
> Key: SPARK-7615
> URL: https://issues.apache.org/jira/browse/SPARK-7615
> Project: Spark
> Issue Type: Bug
> Components: MLlib
> Affects Versions: 1.3.1
> Reporter: Eric Li
> Priority: Minor
> Original Estimate: 1h
> Remaining Estimate: 1h
>
> In Word2VecModel, wordVecNorms may contains Euclidean Norm equals to zero. This will cause incorrect calculation for cosine distance. when you do cosineVec(ind) / wordVecNorms(ind). Cosine distance should be equal to 0 for norm = 0.
--
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