[ https://issues.apache.org/jira/browse/SPARK-28081?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-28081. ------------------------------- Resolution: Fixed Fix Version/s: 2.4.4 2.3.4 3.0.0 Issue resolved by pull request 24893 [https://github.com/apache/spark/pull/24893] > word2vec 'large' count value too low for very large corpora > ----------------------------------------------------------- > > Key: SPARK-28081 > URL: https://issues.apache.org/jira/browse/SPARK-28081 > Project: Spark > Issue Type: Bug > Components: ML > Affects Versions: 2.4.3 > Reporter: Sean Owen > Assignee: Sean Owen > Priority: Minor > Fix For: 3.0.0, 2.3.4, 2.4.4 > > > The word2vec implementation operates on word counts, and uses a hard-coded > value of 1e9 to mean "a very large count, larger than any actual count". > However this causes the logic to fail if, in fact, a large corpora has some > words that really do occur more than this many times. We can probably improve > the implementation to better handle very large counts in general. -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org