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    Details

    • Type: Sub-task
    • Status: Resolved
    • Priority: Blocker
    • Resolution: Fixed
    • Affects Version/s: 1.3.0
    • Fix Version/s: 1.4.0
    • Component/s: ML
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    • Target Version/s:

      Description

      In a pipeline, we don't save additional params specified in `fit()` to transformers, because we should not modify them. The current solution is to store training parameters in the pipeline model and apply those parameters at `transform()`. A better solution would be making transformers copyable. Calling `.copy` on a transformer produces a new transformer with a different UID but same parameters. Then we can use the copied transformers in the pipeline model, with additional params stored.

      `copy` may not be a good name because it is not an exact copy.

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              • Assignee:
                mengxr Xiangrui Meng
                Reporter:
                mengxr Xiangrui Meng
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