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  1. Spark
  2. SPARK-15668

ml.feature: update check schema to avoid confusion when user use MLlib.vector as input type

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Details

    • Bug
    • Status: Resolved
    • Minor
    • Resolution: Fixed
    • None
    • 2.0.0
    • ML
    • None

    Description

      As we use ml.vector to replace mllib.vector in ml, users use mllib.vector as input column will get error. Yet some error message is confusing:

      s"Input column ${$(inputCol)} must be a vector column")

      The input column probably is already a vector of mllib. Update to avoid the confusion.

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        Issue Links

          is related to

          Improvement - An improvement or enhancement to an existing feature or task. SPARK-15746 SchemaUtils.checkColumnType with VectorUDT prints instance details in error message

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

          Task - A task that needs to be done. SPARK-15587 ML 2.0 QA: Scala APIs audit for feature

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

          Pull request #13411 [Github] Pull Request #13411 (hhbyyh)

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            People

              yuhaoyan yuhao yang
              yuhaoyan yuhao yang
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              Dates

                Created:
                Updated:
                Resolved: