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  1. Spark
  2. SPARK-4001

Add FP-growth algorithm to Spark MLlib

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Details

    • New Feature
    • Status: Resolved
    • Major
    • Resolution: Fixed
    • None
    • 1.3.0
    • MLlib
    • None

    Description

      Apriori is the classic algorithm for frequent item set mining in a transactional data set. It will be useful if Apriori algorithm is added to MLLib in Spark

      Attachments

        Issue Links

          blocks

          Improvement - An improvement or enhancement to an existing feature or task. SPARK-5520 Make FP-Growth implementation take generic item types

          • Critical - Crashes, loss of data, severe memory leak.
          • Resolved
          is duplicated by

          New Feature - A new feature of the product, which has yet to be developed. SPARK-6381 add Apriori algorithm to MLLib

          • Major - Major loss of function.
          • Resolved

          Improvement - An improvement or enhancement to an existing feature or task. SPARK-2432 Apriori algorithm for frequent itemset mining

          • Major - Major loss of function.
          • Resolved
          is related to

          Documentation - Documentation or Website SPARK-5519 Add user guide for FP-Growth

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

          Pull request #2847 [Github] Pull Request #2847 (jackylk)

          Activity

            People

              jackylk Jacky Li
              jackylk Jacky Li
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              Dates

                Created:
                Updated:
                Resolved: