[ https://issues.apache.org/jira/browse/SPARK-7615?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-7615. ------------------------------ Resolution: Fixed Assignee: Sean Owen Fix Version/s: 2.0.0 1.6.1 Resolved by https://github.com/apache/spark/pull/10696 > MLLIB 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 > Assignee: Sean Owen > Priority: Minor > Fix For: 1.6.1, 2.0.0 > > 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-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org