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  1. Spark
  2. SPARK-5556

Latent Dirichlet Allocation (LDA) using Gibbs sampler

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Details

    • New Feature
    • Status: Resolved
    • Major
    • Resolution: Incomplete
    • None
    • None
    • MLlib

    Attachments

      1. spark-summit.pptx
        876 kB
        Guoqiang Li
      2. LDA_test.xlsx
        210 kB
        Guoqiang Li

      Issue Links

        is required by

        Umbrella - An overarching type made of sub-tasks SPARK-5572 LDA improvement listing

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

        New Feature - A new feature of the product, which has yet to be developed. SPARK-1405 parallel Latent Dirichlet Allocation (LDA) atop of spark in MLlib

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

        Improvement - An improvement or enhancement to an existing feature or task. SPARK-6259 Python API for LDA

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

        Pull request #4807 [Github] Pull Request #4807 (EntilZha)

        Activity

          People

            pedrorodriguez Pedro Rodriguez
            gq Guoqiang Li
            Votes:
            4 Vote for this issue
            Watchers:
            11 Start watching this issue

            Dates

              Created:
              Updated:
              Resolved: