Joseph K. Bradley created SPARK-5272: ----------------------------------------
Summary: 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 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 (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org