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  1. Spark
  2. SPARK-4894

Add Bernoulli-variant of Naive Bayes

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Details

    • New Feature
    • Status: Resolved
    • Major
    • Resolution: Fixed
    • 1.2.0
    • 1.4.0
    • MLlib
    • None

    Description

      MLlib only supports the multinomial-variant of Naive Bayes. The Bernoulli version of Naive Bayes is more useful for situations where the features are binary values.

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          blocks

          Improvement - An improvement or enhancement to an existing feature or task. SPARK-5328 Update PySpark MLlib NaiveBayes API to take model type parameter for Bernoulli fit

          • Minor - Minor loss of function, or other problem where easy workaround is present.
          • Closed
          relates to

          Improvement - An improvement or enhancement to an existing feature or task. SPARK-5272 Refactor NaiveBayes to support discrete and continuous labels,features

          • Major - Major loss of function.
          • Resolved
          links to

          Pull request #4087 [Github] Pull Request #4087 (leahmcguire)

          Activity

            People

              lmcguire Leah McGuire
              rnowling R J Nowling
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              Dates

                Created:
                Updated:
                Resolved: