[ https://issues.apache.org/jira/browse/SPARK-8936?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Joseph K. Bradley resolved SPARK-8936. -------------------------------------- Resolution: Fixed Fix Version/s: 1.5.0 Issue resolved by pull request 7836 [https://github.com/apache/spark/pull/7836] > Hyperparameter estimation in LDA > -------------------------------- > > Key: SPARK-8936 > URL: https://issues.apache.org/jira/browse/SPARK-8936 > Project: Spark > Issue Type: New Feature > Components: ML > Reporter: Feynman Liang > Assignee: Feynman Liang > Fix For: 1.5.0 > > > LDA currently supports inference of word distributions per topic > ({{LDAModel.topicsMatrix}}) but no hyperparameter (e.g. document-topic > Dirichlet parameter alpha, document-word Dirichlet parameter beta) point > estimates are produced. > Hyperparameter estimation in Online LDA has been described by Blei > (https://www.cs.princeton.edu/~blei/papers/HoffmanBleiBach2010b.pdf, equation > 9) and should be supported in Spark's implementation. -- 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