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Databricks Ml Experiments Update Run

Tool to update MLflow run metadata including status, end time, and run name. Use when a run's status changes outside normal execution flow or when you need to rename a run. This endpoint allows you to modify a run's metadata after it has been created.

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Use Databricks Ml Experiments Update Run

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Free
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Inputs

  • run_idstring
    Required
    ID of the run to update. Must be provided. This is the unique identifier for the run you want to update.
  • statusstring
    Updated status of the run. Valid values: RUNNING (1), SCHEDULED (2), FINISHED (3), FAILED (4), KILLED (5). The RunStatus enum represents the execution state of the run.
  • end_timeinteger
    Unix timestamp in milliseconds of when the run ended. Represents the end time in milliseconds since the UNIX epoch.
  • run_namestring
    Updated name of the run. Used to rename the run for better identification.
  • run_uuidstring
    Deprecated field; use run_id instead. Maintained for backwards compatibility.

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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