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  1. Spark
  2. SPARK-9000

Support generic item type in PrefixSpan

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Details

    • Improvement
    • Status: Resolved
    • Critical
    • Resolution: Fixed
    • 1.5.0
    • 1.5.0
    • MLlib
    • None

    Description

      In SPARK-6487, we only support Int type. It requires users to encode other types into integer to use PrefixSpan. We should be able to do this inside PrefixSpan, similar to FPGrowth. This should be done before 1.5 since it changes APIs.

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        Issue Links

        blocks

        Improvement - An improvement or enhancement to an existing feature or task. SPARK-9527 PrefixSpan.run should return a PrefixSpanModel instead of an RDD and it should be Java-friendly

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

        Improvement - An improvement or enhancement to an existing feature or task. SPARK-8999 Support non-temporal sequence in PrefixSpan

        • Critical - Crashes, loss of data, severe memory leak.
        • Resolved
        links to

        Pull request #7400 [Github] Pull Request #7400 (rikima)

        Pull request #7837 [Github] Pull Request #7837 (feynmanliang)

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          People

            fliang Feynman Liang
            mengxr Xiangrui Meng
            Xiangrui Meng Xiangrui Meng
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              Updated:
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