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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

    • Type: Sub-task
    • Status: Resolved
    • Priority: Major
    • Resolution: Fixed
    • Affects Version/s: None
    • Fix Version/s: 1.4.0
    • Component/s: ML, MLlib, PySpark
    • Labels:
      None
    • Target Version/s:

      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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              • Assignee:
                yuhaoyan yuhao yang
                Reporter:
                josephkb Joseph K. Bradley
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                • Created:
                  Updated:
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