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Databricks Search Mlflow Runs

Tool to search for MLflow runs with filtering, ordering, and pagination support. Use when you need to find runs based on metrics, parameters, tags, or other criteria. Supports complex filter expressions with operators like =, !=, >, >=, <, <= for metrics, params, and tags.

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Use Databricks Search Mlflow Runs

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Inputs

  • filterstring
    Filter expression for searching runs. Supports params, metrics, and tags with operators: =, !=, >, >=, <, <=. Special characters in column names require double quotes or backticks. Example: "metrics.rmse < 1 and params.model_class = 'LogisticRegression'". Multiple expressions ca…
  • order_byarray
    List of columns to be ordered by, including attributes, params, metrics, and tags with an optional DESC or ASC annotation, where ASC is the default. Example: ["params.input DESC", "metrics.rmse"]. When no ordering is specified, tiebreaks default to start_time DESC followed by ru…
  • page_tokenstring
    Pagination token for retrieving subsequent result pages. Use the next_page_token from a previous response to retrieve the next page of results.
  • max_resultsinteger
    Maximum number of runs desired. If unspecified, defaults to 1000. All servers are guaranteed to support a max_results threshold of at least 50,000.
  • run_view_typestring
    Whether to display only active, only deleted, or all runs. Defaults to ACTIVE_ONLY if not specified. ACTIVE_ONLY shows runs that are not marked for deletion, DELETED_ONLY shows runs marked for deletion, ALL shows all runs regardless of deletion status.
  • experiment_idsarray
    Required
    List of experiment IDs to search over. At least one experiment ID must be provided.

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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