[ https://issues.apache.org/jira/browse/SPARK-7615?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14543977#comment-14543977 ]
Angel Martinez Gonzalez commented on SPARK-7615: ------------------------------------------------ Hi, is any body working on this (and SPARK-7617, SPARK-7618)? I have been using Spark for some time, and would like get started contributing. This looks like a trivial issue (good fo a newbie). Shall I provide a pull request for this? Would it make sense a pull request for the three related issues? > 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 > 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-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org