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  1. Spark
  2. SPARK-15101

Audit: ml.clustering and ml.recommendation

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Details

    • Documentation
    • Status: Resolved
    • Major
    • Resolution: Fixed
    • None
    • 2.0.0
    • Documentation, ML
    • None

    Description

      Audit this sub-package for new algorithms which do not have corresponding sections & examples in the user guide.

      See parent issue for more details.

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          is required by

          Sub-task - The sub-task of the issue SPARK-14815 ML, Graph, R 2.0 QA: Update user guide for new features & APIs

          • Blocker - Blocks development and/or testing work, production could not run
          • Resolved
          relates to

          Sub-task - The sub-task of the issue SPARK-12247 Documentation for spark.ml's ALS and collaborative filtering in general

          • Major - Major loss of function.
          • Resolved

          Improvement - An improvement or enhancement to an existing feature or task. SPARK-14340 Add Scala Example and User DOC for ml.BisectingKMeans

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

          Documentation - Documentation or Website SPARK-14434 User guide doc and examples for GaussianMixture in spark.ml

          • Major - Major loss of function.
          • Resolved

          Documentation - Documentation or Website SPARK-15149 Include ml.kmeans python example

          • Major - Major loss of function.
          • Resolved

          Documentation - Documentation or Website SPARK-15150 Add python example for LDA

          • Major - Major loss of function.
          • Resolved

          Documentation - Documentation or Website SPARK-15200 Add documentaion and examples for GaussianMixture

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

          Activity

            People

              podongfeng Ruifeng Zheng
              josephkb Joseph K. Bradley
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              Dates

                Created:
                Updated:
                Resolved: