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Databricks Ml Experiments Log Outputs

Tool to log dataset outputs from an MLflow run for tracking data generated during model development. Use when you need to track metadata about datasets produced by ML experiment runs, including information about predictions, model outputs, or generated data. Enables logging of d…

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Use Databricks Ml Experiments Log Outputs

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Inputs

  • run_idstring
    Required
    ID of the run to log under. This field is required. The unique identifier for the MLflow run where dataset outputs will be logged
  • datasetsarray
    Collection of dataset outputs being logged to the run. Each entry contains dataset metadata and optional tags

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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