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Databricks Ml Experiments Finalize Logged Model

Tool to finalize a logged model in MLflow by updating its status to READY or FAILED. Use when custom model preparation logic is complete and you need to mark the model as ready for use or indicate that upload failed. This is part of the experimental logged models feature introdu…

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Use Databricks Ml Experiments Finalize Logged Model

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Inputs

  • statusstring
    Required
    Final status to set on the model. Use LOGGED_MODEL_READY when model files are completely uploaded and ready for use, or LOGGED_MODEL_UPLOAD_FAILED if an error occurred during model upload
  • model_idstring
    Required
    The unique identifier of the logged model to finalize. This ID is assigned when the model is initially created

Observable output

  • data
    Required
    Data from the action execution
  • errorstring
    Error if any occurred during the execution of the action
  • successfulboolean
    Required
    Whether or not the action execution was successful or not

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