[ https://issues.apache.org/jira/browse/SPARK-5272?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-5272. --------------------------------- Resolution: Incomplete > Refactor NaiveBayes to support discrete and continuous labels,features > ---------------------------------------------------------------------- > > Key: SPARK-5272 > URL: https://issues.apache.org/jira/browse/SPARK-5272 > Project: Spark > Issue Type: Improvement > Components: MLlib > Affects Versions: 1.2.0 > Reporter: Joseph K. Bradley > Priority: Major > Labels: bulk-closed, clustering > > This JIRA is to discuss refactoring NaiveBayes in order to support both > discrete and continuous labels and features. > Currently, NaiveBayes supports only discrete labels and features. > Proposal: Generalize it to support continuous values as well. > Some items to discuss are: > * How commonly are continuous labels/features used in practice? (Is this > necessary?) > * What should the API look like? > ** E.g., should NB have multiple classes for each type of label/feature, or > should it take a general Factor type parameter? -- 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