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  1. Spark
  2. SPARK-21926

Compatibility between ML Transformers and Structured Streaming

    Details

    • Type: Umbrella
    • Status: Resolved
    • Priority: Major
    • Resolution: Fixed
    • Affects Version/s: 2.2.0
    • Fix Version/s: 2.3.0
    • Component/s: ML, Structured Streaming
    • Labels:
      None

      Description

      We've run into a few cases where ML components don't play nice with streaming dataframes (for prediction). This ticket is meant to help aggregate these known cases in one place and provide a place to discuss possible fixes.

      Failing cases:
      1) VectorAssembler where one of the inputs is a VectorUDT column with no metadata.
      Possible fixes:
      More details here SPARK-22346.

      2) OneHotEncoder where the input is a column with no metadata.
      Possible fixes:
      a) Make OneHotEncoder an estimator (SPARK-13030).
      b) Allow user to set the cardinality of OneHotEncoder.

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              • Assignee:
                Unassigned
                Reporter:
                bago.amirbekian Bago Amirbekian
              • Votes:
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                Dates

                • Created:
                  Updated:
                  Resolved: