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  1. Spark
  2. SPARK-7443 MLlib 1.4 QA plan
  3. SPARK-7541

Check model save/load for MLlib 1.4

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Details

    • Sub-task
    • Status: Resolved
    • Major
    • Resolution: Fixed
    • None
    • 1.4.0
    • ML, MLlib, PySpark
    • None

    Description

      For each model which supports save/load methods, we need to verify:

      • These methods are tested in unit tests in Scala and Python (if save/load is supported in Python).
      • If a model's name, data members, or constructors have changed at all, then we likely need to support a new save/load format version. Different versions must be tested in unit tests to ensure backwards compatibility (i.e., verify we can load old model formats).
      • Examples in the programming guide should include save/load when available. It's important to try running each example in the guide whenever it is modified (since there are no automated tests).

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              yuhaoyan yuhao yang
              josephkb Joseph K. Bradley
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                Updated:
                Resolved: